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Description

Data Science Foundation is a high level Data Science course designed with agenda covering all aspects of data science with core concepts. Data Science has three board domains viz., Statistics, Machine Learning/ Programming/ Data Skills, Business Domain Knowledge. The foundation courses focus on basic statistics, overview of Machine Learning with hands on practice with couple of ML algorithms and application of Data Science in top 5 industry domains.

This also includes two hands-on Data Science case study, enabling the candidates to not only understand the core concepts but also gain practical hands on knowledge, thereby boosting the confidence to pursue further knowledge in the field of Data Science.

Data Science is becoming the most important element in any industry, any business. Most organisations, including forture 500 companies, already aligning their organisation structure to facilite the data science driven decision making at various levels.From the reports by main stream think tanks, top consulting companies, it is evident, beyond any doubts, that either an orgnasition or an individual professional, not gaining the Data Science skill will face uncertaining in near future.

The Data Science Foundation course, provides you with solid foundation for Data Science knowledge. This course is equally valuable for beginners, professionals at various levels. If you don't want to left behind with this huge Data Science wave, this is the course for you.

After successful completion of this “Certified Data Science Foundation" course, you should have

  • Gained the big picture of Data Science, how and where you/ your organisation can benefit from Data Science
  • Essential knowledge on Statistics related to Data Science
  • Learned to perform data analysis for large set of data using various tools such as R, Python, Tableau etc.,
  • Understand what is Machine Learning, Artificial Intelligence and various methods to deploy them for business data
  • If you aspire to be a Data Sciencist, you will gain a clear road map to become one.

Data science is the hot field that is booming up now. Be it a small company or an MNC, they need a Data scientist to manage their large pool of data. High demand for data scientists with only a few qualified people to hire, the companies are ready to offer extremely fat salaries to those who have completed this course.

This course not only fetches you loads of career opportunities but also allows you to apply the new age skills in your current work and prove to senior management that you are efficient and knowledgeable. This opens up world of opportunities to explore in your career with Data Science

This course is not specific for any industry as well as professsional experience. Any one from beginners to business leaders, aspiring to gain Data Science knowledge can pursue this course.

  • Beginners (Graduates or students) from any discipline aspiring to pursue career in Data Science, analytics, big data domains
  • Working professionals looking to change their domain to analytics/data science field.
  • Professionals, who are already working in data analysis/analytics domain, want to enhance their skills to main stream Data Science
  • Candidates looking for Data Science knowledge as well as certification as formal testimony of their skills
  • Any one, aspiring knowledge in the field of Data Science..
  • DataMites™ is the authorized institute by the International Association of Business Analytics Certifications (IABAC™) providing global data science certification courses
  • DataMites™ is founded by Data Science/Analytics Experts, who had deep roots in the industry in USA and Europe for decades.
  • You benefit from course syllabus of DataMites™ as designed inline with job requirement in the current market
  • You can choose from flexible learning options : Traditional classroom, Live Virtual classroom and Self learning.
  • DataMites™ has a dedicated Placement Assistance Team (PAT), assisting you to find the right data science job
  • If you are worthy candidate, you get opportunity to work in global data science consulting projects
  • You can treat your DataMites™ relationship manager as your pal. We value your every request.

DataMites™ Certified Data scientist is designed to provide a right blend of all four facets of Data Science

  • This four facets forms four pillars for data science field. They are 1. Programing 2. Statistics 3. Machine Learning 4. Business Knowledge.
  • The course is mainly focussed on Python for core data science programing, it also includes R as necessary to enable professionals working in R.
  • Statistics are covered as required for a Data Scientist, you may find detailed syllabus in syllabus tab.
  • Machine Learning is the main tool kit for Data Science in predicting classification or regression.
  • This course courses all popular ML algorithms as detailed in syllabus tab.
  • This course allows candidates to obtain an in-depth knowledge by laying a strong foundation and covering all the latest data science topics.
  • The increasing demand curve for data science professionals to manage the large set of data in various organizations providing millions of job opportunities in global markets.
  • The knowledge gained through this course along with IABAC™ certificate surely help you to become data science professional.

This course comes as a perfect package of required Data Science skills including programing , statistics and Machine Learning. If you aspire to be Data Science professionals, this course can immensely help you to reach your goal.

After successful completion of this “Certified Data scientist” course, you should have

  • Gained a better knowledge on entire Data Science project work flow.
  • Understand key concepts of statictics
  • Gained hands on knowledge of popular Machine learning algorithms
  • In depth knowledge on Data Mining, Data forecasting, and Data Visualization.
  • Able to create business case for Data Science project
  • Deliver end to end data science project to customer

Data science is the hottest field in the market as on today. Be it a small company or an MNC, they need a Data scientist to manage their large pool of data.

  • High demand for data scientists with only a few qualified people to hire
  • High salaries, nearly twice of an average software engineer as per Glassdoor report
  • This course not only designed to enable you for new career opportunities but also allows you to apply the new age skills in your current work and become valuable to in your current role.
  • Be assured that you are entering the future of data science much earlier to grab those wonderful opportunities arising from this biggest need of the business world.

This course “Certified Data scientist” is not restricted to any specific domain.

  • Fresh Graduates or students from any discipline can choose this course to obtain better job opportunities in this most demanding data science field
  • Working professionals looking to change their domain to data science field.
  • Highly recommended for those who are aspiring jobs that mainly revolves around data analytics and machine learning
  • Project managers aspiring to switch to manage Data Science projects

DataMites™ is the global institute for Data Science accredited by International Association of Business Analytics Certifications (IABAC). DataMites provides flexible learning options from Classroom training, Live Online to high quality recorded sessions

The 6 Key reasons to choose Data Mites™

IABAC™ Accredited

  • Globally reputed certification
  • Syllabus Aligned with IABAC global market standards

Elite Faculty & Mentors

  • Best in industry faculty from IIMs
  • Course structured by Professors in Data Science from top universities
  • Ensures high quality learning experience

Learning Approach

  • Learning through case study approach
  • Theory → Hands On → Case Study → Project → Model Deployment

10+ Industry Projects

  • 10+ Industry related projects
  • Enabling candidates to gain real time skills, also boosting confidence for real challenges

PAT (Placement Assistance Team)

  • Dedicated PAT (Placement assistanceTeam)
  • Resume assist service
  • Mapping candidates to verified jobs by PAT team
  • Supporting in Interview preparation

24x7 Cloud Lab for ONE year

  • High capacity data science cloud lab
  • All Machine Learning python and R scripts on cloud lab for quick reference
  • Enable participants to practice Data Science even with their mobile phones through cloud lab

DataMites's “Business Statistics" course ensures that you learn the practical implications of this statistical tool and excel in all of its concepts. This course does include case studies for a detailed understanding and real time experience. After mastering this important statistical concepts with DataMites's Business Statistics course, you will be joining all the high end Data scientists and decision makers who are successfully shinning in their career by using Minitab to analyse and visualise the business data.

Utilising this Minitab strategies to derive useful insights from raw business data is possible only by individuals who have completed this specialisation course, which is well understood by all the companies. Hence, choosing this course is the best choice to see a boom in your career. Our well structured “Business Statistics Minitab” course curriculum along with the flexibility of attending the virtual online sessions from your convenient place can bring confidence to work on huge unstructured Business data easily.

Minitab has created a revolution in statistical field and learning it would definitely bring in career uplift. By the end of this course

  • You will be able to perform better Business statistical operations using Minitab
  • Understand and apply various Business statistical methods to derive at useful insight for the company.
  • Have gained an in dept knowledge of all the concepts related to Business statistical analysis using Minitab, starting from beginner basics of understanding various data types to Hypothesis testing.

This course is receiving a warm welcome from students and professionals in Quality, statistical and Business analytics field. Since thousands of organisations have already implemented Minitab in their business environment, the opportunities for Business Statistics Minitab specialists is seeing a steep growth. This course gives an edge in the job market for graduates as well as working professionals, dive deep into Minitab concepts to lay a successful career path.

Minitab is a software designed to provide simple and effective solutions for Quality issues. So, learning this course not only benefits the candidates to effectively analyse the data but also benefits the organisation. This course is most suited for Business Analysts, Quality engineers, Quality system managers, Quality supervisors, Quality auditors, Freshers or IT professionals interested in learning data analysis using Minitab.

Choosing a correct training provider is the most important step that you take while opting any course. You should definitely look into the key features of a training institute before opting one.

At DataMites™, we truly believe and very excited about this big wave of Data Science. There are millions of jobs and business opportunities across the globe as of today and this is only going to increase exponentially in coming years.

DataMites is founded by a group of passionate Data Science evangelists with decades of experience in Analytics, big data and Data Science working with fortune 100 companies, across the globe. The mission of DataMites™ is enable data science professionals with strong data science skills aligned market requirements and be a part of this phenominal Data Science era.

 

  • PASSIONATE: We are passionate in enabling professionals with best practice Data Science skills
  • ACCREDITED: DataMites™ is accredited with "International Association of Bussiness Analytics Certifications (IABAC™)", aligning the syllabus with global market requirements
  • HANDS ON PROJECTS : On course completion, worthy candidates are involved in consulting assignments at building block levels to provide real-time exposure, thus supporting them to gain confidence to work in real world Data Science projects
  • JOB ASSISTANCE: A dedicated team , Placement Assistance Team (PAT), is tasked to assist candidates in preparing for the first Data Science job and mapping the job requirements to individual candidate profile.
  • FLEXIBLE LEARNING: DataMites™ provides flexible learning options from traditional classroom to Virtual classroom, Instructor led online and self learning.
  • LIBRARY: A Data Science library with collection of valuable Data Science books and publications, assisted check-in/check-out options.
  • DATA SCIENCE LAB: Access to Cloud Data Science lab with popular platforms, R, Python, Tensorflow etc.,
  • FRIENDLY STAFF: A friendly staff and dedicated counsellor, who are trained to guide you in your career ambitions.
  • RE

Python is the most popular programming language for Data Science as on Today. Python is powerful , easy to learn and flexible tool for coding Data Science and Machine Learning algorithms. In recent years, Python has evolved immensely with respect to Data Science sphere, with a huge community around Python creating quite a few power data science and analytics packages such as Pandas, Numpy, Scikit Learn, Scipy and more. As a result, analyzing data, modeling machine learning algorithms with Python has never been easier.

This course "Python for Data Science", is designed for candidates with or without programming skills, with basics of Data importing, Data mugging and coding Machine Learning algorithms along with effective programming techniques. This also includes Python Data Science challenges kit, enabling the candidates to not only understand Python core concepts but also gain practical mastery over Python for Data Science, which is very much in demand in Today's Data Science job opportunities.

The objective of this course is to provide the fundamentals of Python programing and introduce Data Science concepts and Machine Learning.

 

  • Python Fundamentals : Understanding Python syntax, data types, operators, conditional statements, functions. Writing simple Python scripts for Data Science
  • Data Science essentials: Understand core concepts of Data Science. Data exploration, data mugging, data pre-processing and transforming Data for further analysis. Gain familiarity with Python packages Numpy and Pandas
  • Python for Machine Learning(ML): Understand core concepts of Machine Learning and practice simple ML algorithms using Python package Scikit Learn

This course is at beginner level, so most Data Science aspirants can opt for Python for Data Science

 

  • Basic Programming is recommended
  • Basic Statistics knowledge is recommended

Python is the most popular programming language in Machine Learning and Deep Learning alorithms as on Today. A quick search in indeed.com reveals about 50,000 open job opportunities in USA alone as a day average in year 2017 for Python professionals. This trends is only going to increase exponentially in year 2018 to 2020, aligning to 3 million Data Science job opportunities by 2020 as estimated by IBM Inc.

This course is designed to imbibe the best practice programming skills in Python for Data Science with real world Machine Learning case studies. Candiates pursuing this course will be aligned with the current market job requirements.

Any professional aspiring to become a Data Scientist can start from this course.

 

  • Candidates wanted to pursue Data Science career, with basic or no programming skills
  • Seasoned convential programmer aiming to gain basic machine learning coding skills
  • Job seekers, pursuing career as Data Science Developer
  • Professionals, who's job involves Data Science and Python.

In recent years, Python gained popularity as the preferred langauge for Machine Learning and Deep Learning. This course provide the advantage of cutting complexity of Python Language and focus on learning Python for Data Science in most efficient and effective manner to become Python Data Science developer.

At DataMites™, we truly believe and very excited about this big wave of Data Science. There are millions of jobs and business opportunities across the globe as of today and this is only going to increase exponentially in coming years.

DataMites is founded by a group of passionate Data Science evangelists with decades of experience in Analytics, big data and Data Science working with fortune 100 companies, across the globe. The mission of DataMites™ is enable data science professionals with strong data science skills aligned market requirements and be a part of this phenominal Data Science era.

 

  • PASSIONATE: We are passionate in enabling professionals with best practice Data Science skills
  • ACCREDITED: DataMites™ is accredited with "International Association of Bussiness Analytics Certifications (IABAC™)", aligning the syllabus with global market requirements
  • HANDS ON PROJECTS : On course completion, worthy candidates are involved in consulting assignments at building block levels to provide real-time exposure, thus supporting them to gain confidence to work in real world Data Science projects
  • JOB ASSISTANCE: A dedicated team , Placement Assistance Team (PAT), is tasked to assist candidates in preparing for the first Data Science job and mapping the job requirements to individual candidate profile.
  • FLEXIBLE LEARNING: DataMites™ provides flexible learning options from traditional classroom to Virtual classroom, Instructor led online and self learning.
  • LIBRARY: A Data Science library with collection of valuable Data Science books and publications, assisted check-in/check-out options.
  • DATA SCIENCE LAB: Access to Cloud Data Science lab with popular platforms, R, Python, Tensorflow etc.,
  • FRIENDLY STAFF: A friendly staff and dedicated counsellor, who are trained to guide you in your career ambitions.
  • RE

DataMites™ Certified Data scientist is designed to provide a right blend of all four facets of Data Science

  • This four facets forms four pillars for data science field. They are 1. Programing 2. Statistics 3. Machine Learning 4. Business Knowledge.
  • The course is mainly focussed on Python for core data science programing, it also includes R as necessary to enable professionals working in R.
  • Statistics are covered as required for a Data Scientist, you may find detailed syllabus in syllabus tab.
  • Machine Learning is the main tool kit for Data Science in predicting classification or regression.
  • This course courses all popular ML algorithms as detailed in syllabus tab.
  • This course allows candidates to obtain an in-depth knowledge by laying a strong foundation and covering all the latest data science topics.
  • The increasing demand curve for data science professionals to manage the large set of data in various organizations providing millions of job opportunities in global markets.
  • The knowledge gained through this course along with IABAC™ certificate surely help you to become data science professional.

This course comes as a perfect package of required Data Science skills including programing , statistics and Machine Learning. If you aspire to be Data Science professionals, this course can immensely help you to reach your goal.

After successful completion of this “Certified Data scientist” course, you should have

  • Gained a better knowledge on entire Data Science project work flow.
  • Understand key concepts of statictics
  • Gained hands on knowledge of popular Machine learning algorithms
  • In depth knowledge on Data Mining, Data forecasting, and Data Visualization.
  • Able to create business case for Data Science project
  • Deliver end to end data science project to customer

Data science is the hottest field in the market as on today. Be it a small company or an MNC, they need a Data scientist to manage their large pool of data.

  • High demand for data scientists with only a few qualified people to hire
  • High salaries, nearly twice of an average software engineer as per Glassdoor report
  • This course not only designed to enable you for new career opportunities but also allows you to apply the new age skills in your current work and become valuable to in your current role.
  • Be assured that you are entering the future of data science much earlier to grab those wonderful opportunities arising from this biggest need of the business world.

This course “Certified Data scientist” is not restricted to any specific domain.

  • Fresh Graduates or students from any discipline can choose this course to obtain better job opportunities in this most demanding data science field
  • Working professionals looking to change their domain to data science field.
  • Highly recommended for those who are aspiring jobs that mainly revolves around data analytics and machine learning
  • Project managers aspiring to switch to manage Data Science projects

DataMites™ is the global institute for Data Science accredited by International Association of Business Analytics Certifications (IABAC). DataMites provides flexible learning options from Classroom training, Live Online to high quality recorded sessions

The 6 Key reasons to choose Data Mites™

IABAC™ Accredited

  • Globally reputed certification
  • Syllabus Aligned with IABAC global market standards

Elite Faculty & Mentors

  • Best in industry faculty from IIMs
  • Course structured by Professors in Data Science from top universities
  • Ensures high quality learning experience

Learning Approach

  • Learning through case study approach
  • Theory → Hands On → Case Study → Project → Model Deployment

10+ Industry Projects

  • 10+ Industry related projects
  • Enabling candidates to gain real time skills, also boosting confidence for real challenges

PAT (Placement Assistance Team)

  • Dedicated PAT (Placement assistanceTeam)
  • Resume assist service
  • Mapping candidates to verified jobs by PAT team
  • Supporting in Interview preparation

24x7 Cloud Lab for ONE year

  • High capacity data science cloud lab
  • All Machine Learning python and R scripts on cloud lab for quick reference
  • Enable participants to practice Data Science even with their mobile phones through cloud lab

Machine Learning (ML) is a different approach where computer learns the rules of solving complex problems without explicity programmed. Machine Learning algorithms are at the core and important piece of data science.

This course - Machine Learning Foundation, is designed to provide a wholistic understanding of various ML algorithms with high level theory and hands on application of ML algorithms to classis data sets.

  • Introduce Machine Learning with wholistic approach.
  • Discuss high level theory of popular Machine Learning Algorithms
  • Hands on coding of popular ML algorithms on classic data sets
  • Access the knowledge through International Association of Business Analytics (IABAC™) framework.
  • Introduce Machine Learning with wholistic approach.
  • Discuss high level theory of popular Machine Learning Algorithms
  • Hands on coding of popular ML algorithms on classic data sets
  • Access the knowledge through International Association of Business Analytics (IABAC™) framework.

In recent years, Machine Learning has taken over a main stream business and evolved has a career track by itself. A quick search in job portals reveals about 20,000 Machine Learning job opportunities on daily basis in USA alone. This course lays a solid foundation for ML aspirants with high level theory and concept along with hands on coding of popuplar Machine Learning algorithms : Linear and Logistic Regression, K-means clusturing, SVM (Support Vector Machines), KNN (K -Nearest Neighbours) and Neural Networks.

This course is a foundation level course, so most of the aspiring Machine Learning candiates can opt for this course

 

  • Professionals aspiring to pursue career in Machine Learning or Data Science in general
  • Fresh colleague graduates, who are looking to career options in Data Science
  • Senior professionals, who want gain solid foundation on Machine Learning to manager Data Science projects
  • Candidates pursuing Data Scientist tracks

This course provides a solid foundation in Machine Learning as the syllabus is aligned with international market requirements. The candidates attending this course gain a right perspective on ML rather than getting lost in the ocean of articles and tutorials on the internet. As a part of the course, an certification assessment is conducted and candidate achieving minimum qualifing score receive a global certification, carring immense value of the testimony of their ML knowledge.

At DataMites™, we truly believe and very excited about this big wave of Data Science. DataMites™ work with globally renowned Machine Learning experts in designing as well delivering training course. There are millions of jobs and business opportunities in Data Science across the globe as of today and this is only going to increase exponentially in coming years.

DataMites is founded by a group of passionate Data Science evangelists with decades of experience in Analytics, big data and Data Science working with fortune 100 companies, across the globe. The mission of DataMites™ is enable data science professionals with strong data science skills aligned market requirements and be a part of this phenominal Data Science era.

 

  • PASSIONATE: We are passionate in enabling professionals with best practice Data Science skills
  • ACCREDITED: DataMites™ is accredited with "International Association of Bussiness Analytics Certifications (IABAC™)", aligning the syllabus with global market requirements
  • HANDS ON PROJECTS : On course completion, worthy candidates are involved in consulting assignments at building block levels to provide real-time exposure, thus supporting them to gain confidence to work in real world Data Science projects
  • JOB ASSISTANCE: A dedicated team , Placement Assistance Team (PAT), is tasked to assist candidates in preparing for the first Data Science job and mapping the job requirements to individual candidate profile.
  • FLEXIBLE LEARNING: DataMites™ provides flexible learning options from traditional classroom to Virtual classroom, Instructor led online and self learning.
  • LIBRARY: A Data Science library with collection of valuable Data Science books and publications, assisted check-in/check-out options.
  • DATA SCIENCE LAB: Access to Cloud Data Science lab with popular platforms, R, Python, Tensorflow etc.,

DataMites's Certified Data scientist with R program covers all the data analytics techniques using the latest tools like R, Python, Tableau, Machine Learning and MiniTab. This course allows you to obtain an in-depth knowledge by laying a strong foundation and covering all the latest topics. The increasing demand curve for data analytics professionals to manage the large set of data in various organizations along with this course certificate can transform you into a successful data analytics professional.

This course comes as a perfect package by allowing you to learn about entire data lifecycle and all the methods to achieve the same. You would not just learn about the data analytics techniques and tools but also learn on how to apply them to raw data and obtain business insights.

After successful completion of this “Certified Data scientist with R” course, you should have

  • Gained a better knowledge on how the Business statistical Analytics work and its lifecycle.
  • Learned to perform data analysis for large set of data using all the latest tools like R, Python, Tableau, Machine Learning and MiniTab.
  • Attained the ability to work with different data formats like CSV, XML, SPSS, SAS, etc.
  • In depth knowledge on Data Mining, Data forecasting, and Data Visualization.

Data science is the hot field that is booming up now. Be it a small company or an MNC, they need a Data scientist to manage their large pool of data. High demand for data scientists with only a few qualified people to hire, the companies are ready to offer extremely fat salaries to those who have completed this course. This course not only fetches you loads of career opportunities but also allows you to apply the new age skills in your current work and prove to senior management that you are efficient and knowledgeable. Be assured that you are entering the future of analytics much earlier to grab those wonderful opportunities arising from this biggest need of the business world.

This course “Certified Data scientist with R” is not restricted to any specific domain.

  • Fresh Graduates or students from any discipline can choose this course to obtain better job opportunities in this most demanding data analytics field.
  • Working professionals looking to change their domain to analytics field can also opt this course.
  • Highly recommended for those who are aspiring jobs that mainly revolves around data analytics and for those who have a keen interest or a basic knowledge of statistics and mathematics.

Being one among the handful companies offering this Data Science training, DataMites assures you an industry tailored training program from best trainers. The combined learning of theoretical and practical sessions can help you with a clear idea of all the concepts. DataMites's Certified Data scientist with R course will give you the edge in the competitive market.

DataMites™ Certified Data scientist is designed to provide a right blend of all four facets of Data Science

  • This four facets forms four pillars for data science field. They are 1. Programing 2. Statistics 3. Machine Learning 4. Business Knowledge.
  • The course is mainly focussed on Python for core data science programing, it also includes R as necessary to enable professionals working in R.
  • Statistics are covered as required for a Data Scientist, you may find detailed syllabus in syllabus tab.
  • Machine Learning is the main tool kit for Data Science in predicting classification or regression.
  • This course courses all popular ML algorithms as detailed in syllabus tab.
  • This course allows candidates to obtain an in-depth knowledge by laying a strong foundation and covering all the latest data science topics.
  • The increasing demand curve for data science professionals to manage the large set of data in various organizations providing millions of job opportunities in global markets.
  • The knowledge gained through this course along with IABAC™ certificate surely help you to become data science professional.

This course comes as a perfect package of required Data Science skills including programing , statistics and Machine Learning. If you aspire to be Data Science professionals, this course can immensely help you to reach your goal.

After successful completion of this “Certified Data scientist” course, you should have

  • Gained a better knowledge on entire Data Science project work flow.
  • Understand key concepts of statictics
  • Gained hands on knowledge of popular Machine learning algorithms
  • In depth knowledge on Data Mining, Data forecasting, and Data Visualization.
  • Able to create business case for Data Science project
  • Deliver end to end data science project to customer

Data science is the hottest field in the market as on today. Be it a small company or an MNC, they need a Data scientist to manage their large pool of data.

  • High demand for data scientists with only a few qualified people to hire
  • High salaries, nearly twice of an average software engineer as per Glassdoor report
  • This course not only designed to enable you for new career opportunities but also allows you to apply the new age skills in your current work and become valuable to in your current role.
  • Be assured that you are entering the future of data science much earlier to grab those wonderful opportunities arising from this biggest need of the business world.

This course “Certified Data scientist” is not restricted to any specific domain.

  • Fresh Graduates or students from any discipline can choose this course to obtain better job opportunities in this most demanding data science field
  • Working professionals looking to change their domain to data science field.
  • Highly recommended for those who are aspiring jobs that mainly revolves around data analytics and machine learning
  • Project managers aspiring to switch to manage Data Science projects

DataMites™ is the global institute for Data Science accredited by International Association of Business Analytics Certifications (IABAC). DataMites provides flexible learning options from Classroom training, Live Online to high quality recorded sessions

The 6 Key reasons to choose Data Mites™

IABAC™ Accredited

  • Globally reputed certification
  • Syllabus Aligned with IABAC global market standards

Elite Faculty & Mentors

  • Best in industry faculty from IIMs
  • Course structured by Professors in Data Science from top universities
  • Ensures high quality learning experience

Learning Approach

  • Learning through case study approach
  • Theory → Hands On → Case Study → Project → Model Deployment

10+ Industry Projects

  • 10+ Industry related projects
  • Enabling candidates to gain real time skills, also boosting confidence for real challenges

PAT (Placement Assistance Team)

  • Dedicated PAT (Placement assistanceTeam)
  • Resume assist service
  • Mapping candidates to verified jobs by PAT team
  • Supporting in Interview preparation

24x7 Cloud Lab for ONE year

  • High capacity data science cloud lab
  • All Machine Learning python and R scripts on cloud lab for quick reference
  • Enable participants to practice Data Science even with their mobile phones through cloud lab

Machine Learning (ML) is a different approach where computer learns the rules of solving complex problems without explicity programmed. Machine Learning algorithms are at the core and important piece of data science.

Machine Learning Expert course is designed in accordance with IABAC™ (International Association of Business Analytics Certifications) to provide a theory and application of popular Machine Learning algorithms in Supervised , Unsupervised and Deep Learning. Major algorithm are discussed in more details about how they work and apply these algorithm with real world data.

Finally, we create ML models with Python Scikit-Learn package in solving business problems and case studies. This will give you a complete knowledge on Machine Learning algorithm, how they work, how to optimize, advantages and disadvantages of each algorithm along with practical application.

  • Detailed knowledge on popular Machine Learning algorithms : Supervised and Unsupervised
  • Designing Machine Learning models from strach to solve business problems with real world data
  • Python Machine Learning package - Scikit-Learn
  • Creating Machine Learning models with various ML algorithms and optimize parameters for best performance
  • Introduction to Deep Learning
  • Preparing for IABAC™ Certification Exam
  • Basic Statistics Knowledge
  • Basic Python programing along with knowledge on Python packages Numpy and Pandas
  • Machine Learning Foundation course from IABAC or equalivent demonstrable ML skills.

In recent years, Machine Learning has taken over a main stream business and evolved has a career track by itself. A quick search in job portals reveals about 20,000 Machine Learning job opportunities on daily basis in USA alone. This course provides you with practical knowledge in Machine Learning on choosing ML algorithms to optimization Machine Learning models, which enables to deliver data science projects effectively.

This course is a expert level course and candidate seriously pursuing career in Data Science can opt.

 

  • Professionals aspiring to pursue career in Machine Learning or Data Science in general
  • Fresh colleague graduates with basic Machine Learning knowledge, who are looking to gain more expertise
  • Candidates pursuing Data Scientist tracks

This course provides a expert level knowledge in Machine Learning opening a world of opportunities in domain of Data Science, Artificial Intelligence, Robots etc., This course enable candidates to further master the topic with various real world project available in crowd sourced platforms such as Kaggle. As a part of the course, an certification assessment is conducted and candidate achieving minimum qualifing score receive a global certification, carring immense value of the testimony of Expert Level ML knowledge.

At DataMites™, we truly believe and very excited about this big wave of Data Science. DataMites™ work with globally renowned Machine Learning experts in designing as well delivering training course. There are millions of jobs and business opportunities in Data Science across the globe as of today and this is only going to increase exponentially in coming years.

DataMites is founded by a group of passionate Data Science evangelists with decades of experience in Analytics, big data and Data Science working with fortune 100 companies, across the globe. The mission of DataMites™ is enable data science professionals with strong data science skills aligned market requirements and be a part of this phenominal Data Science era.

 

  • PASSIONATE: We are passionate in enabling professionals with best practice Data Science skills
  • ACCREDITED: DataMites™ is accredited with "International Association of Bussiness Analytics Certifications (IABAC™)", aligning the syllabus with global market requirements
  • HANDS ON PROJECTS : On course completion, worthy candidates are involved in consulting assignments at building block levels to provide real-time exposure, thus supporting them to gain confidence to work in real world Data Science projects
  • JOB ASSISTANCE: A dedicated team , Placement Assistance Team (PAT), is tasked to assist candidates in preparing for the first Data Science job and mapping the job requirements to individual candidate profile.
  • FLEXIBLE LEARNING: DataMites™ provides flexible learning options from traditional classroom to Virtual classroom, Instructor led online and self learning.
  • LIBRARY: A Data Science library with collection of valuable Data Science books and publications, assisted check-in/check-out options.
  • DATA SCIENCE LAB: Access to Cloud Data Science lab with popular platforms, R, Python, Tensorflow etc.,

In recent years, Python has become most preferred language for Data Science and considered as powerful and flexible platform for building Machine Learning systems.

Python with Machine Learning is designed to provide in depth knowledge on building Machine Learning algorithms from bottom up with Python

  • Introduction to Python for Machine Learning
  • Machine Learning algorithm overview
  • Hands on coding of popular ML algorithms with Python
  • Building Machine Learning applications with Python package Scikit-Learn.
  • Assess the knowledge through International Association of Business Analytics (IABAC™) framework.
  • Basic programming skills recommended
  • Basic Statistics Knowledge is recommended
  • Hands on coding of popular ML algorithms on classic data sets

In recent years, Machine Learning has taken over a main stream business and evolved has a career track by itself. A quick search in job portals reveals about 20,000 Machine Learning job opportunities on daily basis in USA alone. This course lays a solid foundation for ML aspirants with high level theory and concept along with hands on coding of popuplar Machine Learning algorithms : Linear and Logistic Regression, K-means clusturing, SVM (Support Vector Machines), KNN (K -Nearest Neighbours) and Neural Networks.

This course is a intermediate level course, so most of the aspiring Machine Learning candiates can opt for this course

 

  • Professionals aspiring to pursue career in Machine Learning or Data Science in general
  • Fresh colleague graduates, who are looking to career options in Data Science
  • Candidates pursuing Data Scientist tracks

This course provides a solid foundation in Machine Learning with Python as the syllabus is aligned with international market requirements. As a part of the course, an certification assessment is conducted and candidate achieving minimum qualifing score receive a global certification, carring immense value of the testimony of Python with Machine Learning knowledge.

At DataMites™, we truly believe and very excited about this big wave of Data Science. DataMites™ work with globally renowned Machine Learning experts in designing as well delivering training course. There are millions of jobs and business opportunities in Data Science across the globe as of today and this is only going to increase exponentially in coming years.

DataMites is founded by a group of passionate Data Science evangelists with decades of experience in Analytics, big data and Data Science working with fortune 100 companies, across the globe. The mission of DataMites™ is enable data science professionals with strong data science skills aligned market requirements and be a part of this phenominal Data Science era.

 

  • PASSIONATE: We are passionate in enabling professionals with best practice Data Science skills
  • ACCREDITED: DataMites™ is accredited with "International Association of Bussiness Analytics Certifications (IABAC™)", aligning the syllabus with global market requirements
  • HANDS ON PROJECTS : On course completion, worthy candidates are involved in consulting assignments at building block levels to provide real-time exposure, thus supporting them to gain confidence to work in real world Data Science projects
  • JOB ASSISTANCE: A dedicated team , Placement Assistance Team (PAT), is tasked to assist candidates in preparing for the first Data Science job and mapping the job requirements to individual candidate profile.
  • FLEXIBLE LEARNING: DataMites™ provides flexible learning options from traditional classroom to Virtual classroom, Instructor led online and self learning.
  • LIBRARY: A Data Science library with collection of valuable Data Science books and publications, assisted check-in/check-out options.
  • DATA SCIENCE LAB: Access to Cloud Data Science lab with popular platforms, R, Python, Tensorflow etc.,

Machine Learning (ML) is a different approach where computer learns the rules of solving complex problems without explicity programmed. Machine Learning algorithms are at the core and important piece of data science.

This course - Machine Learning with R, is designed to provide a wholistic understanding of various ML algorithms with high level theory and hands on application of ML algorithms to classis data sets.

  • Introduce Machine Learning with wholistic approach.
  • Discuss high level theory of popular Machine Learning Algorithms
  • Hands on coding of popular ML algorithms on classic data sets
  • Access the knowledge through International Association of Business Analytics (IABAC™) framework.
  • Introduce Machine Learning with wholistic approach.
  • Discuss high level theory of popular Machine Learning Algorithms
  • Hands on coding of popular ML algorithms on classic data sets
  • Access the knowledge through International Association of Business Analytics (IABAC™) framework.

In recent years, Machine Learning has taken over a main stream business and evolved has a career track by itself. A quick search in job portals reveals about 20,000 Machine Learning job opportunities on daily basis in USA alone. This course lays a solid foundation for ML aspirants with high level theory and concept along with hands on coding of popuplar Machine Learning algorithms : Linear and Logistic Regression, K-means clusturing, SVM (Support Vector Machines), KNN (K -Nearest Neighbours) and Neural Networks.

This course is a foundation level course, so most of the aspiring Machine Learning candiates can opt for this course

 

  • Professionals aspiring to pursue career in Machine Learning or Data Science in general
  • Fresh colleague graduates, who are looking to career options in Data Science
  • Senior professionals, who want gain solid foundation on Machine Learning to manager Data Science projects
  • Candidates pursuing Data Scientist tracks

This course provides a solid foundation in Machine Learning as the syllabus is aligned with international market requirements. The candidates attending this course gain a right perspective on ML rather than getting lost in the ocean of articles and tutorials on the internet. As a part of the course, an certification assessment is conducted and candidate achieving minimum qualifing score receive a global certification, carring immense value of the testimony of their ML knowledge.

At DataMites™, we truly believe and very excited about this big wave of Data Science. DataMites™ work with globally renowned Machine Learning experts in designing as well delivering training course. There are millions of jobs and business opportunities in Data Science across the globe as of today and this is only going to increase exponentially in coming years.

DataMites is founded by a group of passionate Data Science evangelists with decades of experience in Analytics, big data and Data Science working with fortune 100 companies, across the globe. The mission of DataMites™ is enable data science professionals with strong data science skills aligned market requirements and be a part of this phenominal Data Science era.

 

  • PASSIONATE: We are passionate in enabling professionals with best practice Data Science skills
  • ACCREDITED: DataMites™ is accredited with "International Association of Bussiness Analytics Certifications (IABAC™)", aligning the syllabus with global market requirements
  • HANDS ON PROJECTS : On course completion, worthy candidates are involved in consulting assignments at building block levels to provide real-time exposure, thus supporting them to gain confidence to work in real world Data Science projects
  • JOB ASSISTANCE: A dedicated team , Placement Assistance Team (PAT), is tasked to assist candidates in preparing for the first Data Science job and mapping the job requirements to individual candidate profile.
  • FLEXIBLE LEARNING: DataMites™ provides flexible learning options from traditional classroom to Virtual classroom, Instructor led online and self learning.
  • LIBRARY: A Data Science library with collection of valuable Data Science books and publications, assisted check-in/check-out options.
  • DATA SCIENCE LAB: Access to Cloud Data Science lab with popular platforms, R, Python, Tensorflow etc.,

In the world of Big Data, where data comes in high volume, high velocity and variety , making a data driven business decision become very crucial for business success. Machine Learning models plays a significant role with learning algorithms in turn these big data in to valuable insights. Tensorflow is a relatively new open souce machine learning library from Google which simplies creating a complex machine learning models to a great extent, by hiding all the complexities, mathematics and algorithms.

This course - Machine Learning with Tensorflow is designed to explore Tensforflow from scratch and building Machine Learning models with real world data

  • Introduce Machine Learning
  • Machine Learning with Tensorflow
  • Tensorboard visualization
  • Hands on coding of Neural Networks with Tensorflow
  • Applying ML with Tensorflow on case study
  • Machine Learning essential knowledge is required.
  • Basic Python Programming is required.
  • Knowledge in Statistics is recommended

In recent years, Machine Learning has taken over a main stream business and evolved has a career track by itself. A quick search in job portals reveals about 20,000 Machine Learning job opportunities on daily basis in USA alone. This course explore Tensorflow platform through designing practical Machine Learning algorithms for real world cases and visualizing them with Tensorboard.

Tensorflow from Google, gaining popularity and a huge community of developers since its launch in Nov, 2015. Tensorflow is the most preferred for deep learning applications and Machine learning application chruning huge data. The advantage of hosting the production level Machine Learning application directly to Google Gloud is pursuading many Machine Learning experts to increasing choosing Tensforflow.

This course is recommended for candidate pursuing career in Data Science as Tensorflow is becoming a leading platform for Machine Learning

 

  • Data Scientist wanting to adopt to new technology - Tensorflow
  • Data science/ analytics professionals aspiring career as Tensorflow specialist
  • Candidates pursuing Data Scientist tracks

Machine Learning is gaining popular in all kinds of domains and Tensorflow is perceived as the major platform for ML. The advantage of this course is that you get a head start as this is new technology with huge market demand.

At DataMites™, we truly believe and very excited about this big wave of Data Science. DataMites™ work with globally renowned Machine Learning experts in designing as well delivering training course. There are millions of jobs and business opportunities in Data Science across the globe as of today and this is only going to increase exponentially in coming years.

DataMites is founded by a group of passionate Data Science evangelists with decades of experience in Analytics, big data and Data Science working with fortune 100 companies, across the globe. The mission of DataMites™ is enable data science professionals with strong data science skills aligned market requirements and be a part of this phenominal Data Science era.

 

  • PASSIONATE: We are passionate in enabling professionals with best practice Data Science skills
  • ACCREDITED: DataMites™ is accredited with "International Association of Bussiness Analytics Certifications (IABAC™)", aligning the syllabus with global market requirements
  • HANDS ON PROJECTS : On course completion, worthy candidates are involved in consulting assignments at building block levels to provide real-time exposure, thus supporting them to gain confidence to work in real world Data Science projects
  • JOB ASSISTANCE: A dedicated team , Placement Assistance Team (PAT), is tasked to assist candidates in preparing for the first Data Science job and mapping the job requirements to individual candidate profile.
  • FLEXIBLE LEARNING: DataMites™ provides flexible learning options from traditional classroom to Virtual classroom, Instructor led online and self learning.
  • LIBRARY: A Data Science library with collection of valuable Data Science books and publications, assisted check-in/check-out options.
  • DATA SCIENCE LAB: Access to Cloud Data Science lab with popular platforms, R, Python, Tensorflow etc.,

Python is the most popular programming language for Data Science as on Today. Python is powerful , easy to learn and flexible tool for coding Data Science and Machine Learning algorithms. In recent years, Python has evolved immensely with respect to Data Science sphere, with a huge community around Python creating quite a few power data science and analytics packages such as Pandas, Numpy, Scikit Learn, Scipy and more. As a result, analyzing data, modeling machine learning algorithms with Python has never been easier.

It is absolutely no surprise that Python ranked No: #1 programming language in year 2017 and straight past 5 years. The recent surge in popularity can be attributed to its Data Science friendliness. Python along with its Machine Learning packages is already established as the popular platform for Data Science.

This course "Certified Python Developer", is designed for candidates with or without programming skills. Candidates to not only understand Python core concepts but also gain practical mastery over Certified Python Developer, which is very much in demand in Today's job market.

The objective of this course is to provide the fundamentals of Python programing and introduce Data Science concepts and Machine Learning.

 

  • Python Fundamentals : Understanding Python syntax, data types, operators, conditional statements, functions. Writing simple Python scripts for Data Science
  • Python Packages: Understand core packages exploration and application
  • Building application with Python

This course is at beginner level, so is suitable for any one who want to learn Python

 

  • Basic Programming is recommended

Python is the most popular programming language on Today. A quick search in indeed.com reveals about 50,000 open job opportunities in USA alone as a day average in year 2017 for Python professionals. This trends is only going to increase exponentially in year 2018 to 2020, aligning to 3 million Data Science job opportunities by 2020 as estimated by IBM Inc.

This course is designed to imbibe the best practice programming skills in Certified Python Developer with real world Python application development and Machine Learning case studies. Candiates pursuing this course will be aligned with the current market job requirements.

Any professional aspiring to become Python developer

 

  • Candidates wanted to pursue Data Science career, with basic or no programming skills
  • Job seekers, pursuing career as Python Developer
  • Professionals, who's job involves Data Science and Python.

In recent years, Python gained popularity as the preferred langauge for Machine Learning and Deep Learning. This course provide the advantage of cutting complexity of Python Language and focus on learning Certified Python Developer in most efficient and effective manner to become Python developer.

At DataMites™, we truly believe and very excited about this big wave of Data Science and Python being the platform powering this wave. There are millions of jobs and business opportunities across the globe as of today and this is only going to increase exponentially in coming years.

DataMites is founded by a group of passionate Data Science evangelists with decades of experience in Analytics, big data and Data Science working with fortune 100 companies, across the globe. The mission of DataMites™ is enable data science professionals with strong data science skills aligned market requirements and be a part of this phenominal Data Science era.

 

  • PASSIONATE: We are passionate in enabling professionals with best practice Python and Data Science skills
  • ACCREDITED: DataMites™ is accredited with "International Association of Bussiness Analytics Certifications (IABAC™)", aligning the syllabus with global market requirements
  • HANDS ON PROJECTS : On course completion, worthy candidates are involved in consulting assignments at building block levels to provide real-time exposure, thus supporting them to gain confidence to work in real world Data Science projects
  • JOB ASSISTANCE: A dedicated team , Placement Assistance Team (PAT), is tasked to assist candidates in preparing for the first Data Science job and mapping the job requirements to individual candidate profile.
  • FLEXIBLE LEARNING: DataMites™ provides flexible learning options from traditional classroom to Virtual classroom, Instructor led online and self learning.
  • LIBRARY: A Data Science library with collection of valuable Data Science books and publications, assisted check-in/check-out options.
  • DATA SCIENCE LAB: Access to Cloud Data Science lab with popular platforms, R, Python, Tensorflow etc.,
  • FRIENDLY STAFF: A friendly staff and dedicated counsellor, who are

Python is the most popular programming language for Data Science as on Today. Python is powerful , easy to learn and flexible tool for coding Data Science and Machine Learning algorithms. In recent years, Python has evolved immensely with respect to Data Science sphere, with a huge community around Python creating quite a few power data science and analytics packages such as Pandas, Numpy, Scikit Learn, Scipy and more. As a result, analyzing data, modeling machine learning algorithms with Python has never been easier.

This course "Python for Data Science", is designed for candidates with or without programming skills, with basics of Data importing, Data mugging and coding Machine Learning algorithms along with effective programming techniques. This also includes Python Data Science challenges kit, enabling the candidates to not only understand Python core concepts but also gain practical mastery over Python for Data Science, which is very much in demand in Today's Data Science job opportunities.

The objective of this course is to provide the fundamentals of Python programing and introduce Data Science concepts and Machine Learning.

 

  • Python Fundamentals : Understanding Python syntax, data types, operators, conditional statements, functions. Writing simple Python scripts for Data Science
  • Data Science essentials: Understand core concepts of Data Science. Data exploration, data mugging, data pre-processing and transforming Data for further analysis. Gain familiarity with Python packages Numpy and Pandas
  • Python for Machine Learning(ML): Understand core concepts of Machine Learning and practice simple ML algorithms using Python package Scikit Learn

This course is at beginner level, so most Data Science aspirants can opt for Python for Data Science

 

  • Basic Programming is recommended
  • Basic Statistics knowledge is recommended

Python is the most popular programming language in Machine Learning and Deep Learning alorithms as on Today. A quick search in indeed.com reveals about 50,000 open job opportunities in USA alone as a day average in year 2017 for Python professionals. This trends is only going to increase exponentially in year 2018 to 2020, aligning to 3 million Data Science job opportunities by 2020 as estimated by IBM Inc.

This course is designed to imbibe the best practice programming skills in Python for Data Science with real world Machine Learning case studies. Candiates pursuing this course will be aligned with the current market job requirements.

Any professional aspiring to become a Data Scientist can start from this course.

 

  • Candidates wanted to pursue Data Science career, with basic or no programming skills
  • Seasoned convential programmer aiming to gain basic machine learning coding skills
  • Job seekers, pursuing career as Data Science Developer
  • Professionals, who's job involves Data Science and Python.

In recent years, Python gained popularity as the preferred langauge for Machine Learning and Deep Learning. This course provide the advantage of cutting complexity of Python Language and focus on learning Python for Data Science in most efficient and effective manner to become Python Data Science developer.

At DataMites™, we truly believe and very excited about this big wave of Data Science. There are millions of jobs and business opportunities across the globe as of today and this is only going to increase exponentially in coming years.

DataMites is founded by a group of passionate Data Science evangelists with decades of experience in Analytics, big data and Data Science working with fortune 100 companies, across the globe. The mission of DataMites™ is enable data science professionals with strong data science skills aligned market requirements and be a part of this phenominal Data Science era.

 

  • PASSIONATE: We are passionate in enabling professionals with best practice Data Science skills
  • ACCREDITED: DataMites™ is accredited with "International Association of Bussiness Analytics Certifications (IABAC™)", aligning the syllabus with global market requirements
  • HANDS ON PROJECTS : On course completion, worthy candidates are involved in consulting assignments at building block levels to provide real-time exposure, thus supporting them to gain confidence to work in real world Data Science projects
  • JOB ASSISTANCE: A dedicated team , Placement Assistance Team (PAT), is tasked to assist candidates in preparing for the first Data Science job and mapping the job requirements to individual candidate profile.
  • FLEXIBLE LEARNING: DataMites™ provides flexible learning options from traditional classroom to Virtual classroom, Instructor led online and self learning.
  • LIBRARY: A Data Science library with collection of valuable Data Science books and publications, assisted check-in/check-out options.
  • DATA SCIENCE LAB: Access to Cloud Data Science lab with popular platforms, R, Python, Tensorflow etc.,
  • FRIENDLY STAFF: A friendly staff and dedicated counsellor, who are trained to guide you in your career ambitions.
  • RE

Python is the most popular programming language for Data Science as on Today. Python is powerful , easy to learn and flexible tool for coding Data Science and Machine Learning algorithms. In recent years, Python has evolved immensely with respect to Data Science sphere, with a huge community around Python creating quite a few power data science and analytics packages such as Pandas, Numpy, Scikit Learn, Scipy and more. As a result, analyzing data, modeling machine learning algorithms with Python has never been easier.

This course "Data Mining with Python", is designed for candidates with or without programming skills, with basics of Data importing and Data mugging along with effective programming techniques. This also includes Python Data Science challenges kit, enabling the candidates to not only understand Python core concepts but also gain practical mastery over Data Mining with Python, which is very much in demand in Today's Data Science job opportunities.

The objective of this course is to provide the fundamentals of Python programing and introduce Data Science concepts and Machine Learning.

 

  • Python Fundamentals : Understanding Python syntax, data types, operators, conditional statements, functions. Writing simple Python scripts for Data Science
  • Data Science essentials: Understand core concepts of Data Science. Data exploration, data mugging, data pre-processing and transforming Data for further analysis. Gain familiarity with Python packages Numpy and Pandas
  • Python for Machine Learning(ML): Understand core concepts of Machine Learning and practice simple ML algorithms using Python package Scikit Learn

This course is at beginner level, so most Data Science aspirants can opt for Data Mining with Python

 

  • Basic Programming is recommended
  • Basic Statistics knowledge is recommended

Python is the most popular programming language in Machine Learning and Deep Learning alorithms as on Today. A quick search in indeed.com reveals about 50,000 open job opportunities in USA alone as a day average in year 2017 for Python professionals. This trends is only going to increase exponentially in year 2018 to 2020, aligning to 3 million Data Science job opportunities by 2020 as estimated by IBM Inc.

This course is designed to imbibe the best practice programming skills in Data Mining with Python with real world Machine Learning case studies. Candiates pursuing this course will be aligned with the current market job requirements.

Any professional aspiring to become a Data Scientist can start from this course.

 

  • Candidates wanted to pursue Data Science career, with basic or no programming skills
  • Seasoned convential programmer aiming to gain basic machine learning coding skills
  • Job seekers, pursuing career as Data Science Developer
  • Professionals, who's job involves Data Science and Python.

In recent years, Python gained popularity as the preferred langauge for Machine Learning and Deep Learning. This course provide the advantage of cutting complexity of Python Language and focus on learning Data Mining with Python in most efficient and effective manner to become Python Data Science developer.

At DataMites™, we truly believe and very excited about this big wave of Data Science. There are millions of jobs and business opportunities across the globe as of today and this is only going to increase exponentially in coming years.

DataMites is founded by a group of passionate Data Science evangelists with decades of experience in Analytics, big data and Data Science working with fortune 100 companies, across the globe. The mission of DataMites™ is enable data science professionals with strong data science skills aligned market requirements and be a part of this phenominal Data Science era.

 

  • PASSIONATE: We are passionate in enabling professionals with best practice Data Science skills
  • ACCREDITED: DataMites™ is accredited with "International Association of Bussiness Analytics Certifications (IABAC™)", aligning the syllabus with global market requirements
  • HANDS ON PROJECTS : On course completion, worthy candidates are involved in consulting assignments at building block levels to provide real-time exposure, thus supporting them to gain confidence to work in real world Data Science projects
  • JOB ASSISTANCE: A dedicated team , Placement Assistance Team (PAT), is tasked to assist candidates in preparing for the first Data Science job and mapping the job requirements to individual candidate profile.
  • FLEXIBLE LEARNING: DataMites™ provides flexible learning options from traditional classroom to Virtual classroom, Instructor led online and self learning.
  • LIBRARY: A Data Science library with collection of valuable Data Science books and publications, assisted check-in/check-out options.
  • DATA SCIENCE LAB: Access to Cloud Data Science lab with popular platforms, R, Python, Tensorflow etc.,
  • FRIENDLY STAFF: A friendly staff and dedicated counsellor, who are trained to guide you in your career ambitions.
  • RE

Artificial Intelligence(AI) entered main stream and revolutionizing the way we do the business. It won't surprise you to know that more than 50% of current roles human perform will be replaced by AI in next 3 to 5 years. There is already a big demand for AI specialists and this demand will be expotentially growing in coming years.

Deep Learning with Python course will get you ready for AI career. Deep Learning is also one of the highly coveted skill in the tech industry. This course covers popular Deep Learning algorithms: Convolutional Networks, BatchNorm, RNNS etc., with the case studies from autonomous driving, healthcare, Natural language processing etc., With this course, you will not only master the concept behind deep learning but also see the application of real world.

  • Introduce Deep Learning AI algorithms
  • Improving Deep Learning models with Optimization and Hyperparameter tuning
  • Convolutional Neural Networks
  • Structuring Deep Learning Projects
  • Hands on Case Study
  • Machine Learning essential knowledge is mandatory
  • Basic Python programming skills is required.

Artificial Intelligence is revolutionizing the way business. Learning Deep Learning will make you a scare , highly in demand, resource and has potential to super charge your career growth. In simple words, this course will help you build a career in most coveted domain , AI.

This course is an advanced course, professionals with essential knowledge in Machine Learning and aspiring to be AI specialst can opt.

 

  • Professionals aspiring to become AI specialist
  • Machine learning professionals wanted to move up this the ladder with AI skills

This course cover most of the popular deep learning algorithms along with the application on a case study. This course will help you build a AI career an effective manner.

At DataMites™, we truly believe and very excited about this big wave of Data Science. DataMites™ work with globally renowned Machine Learning experts in designing as well delivering training course.We also deliver Articifial Intelligence consulting project to our European clients.

DataMites is founded by a group of passionate Data Science evangelists with decades of experience in Analytics, big data and Data Science working with fortune 100 companies, across the globe. The mission of DataMites™ is enable data science professionals with strong data science skills aligned market requirements and be a part of this phenominal Data Science era.

 

  • PASSIONATE: We are passionate in enabling professionals with best practice Data Science skills
  • ACCREDITED: DataMites™ is accredited with "International Association of Bussiness Analytics Certifications (IABAC™)", aligning the syllabus with global market requirements
  • HANDS ON PROJECTS : On course completion, worthy candidates are involved in consulting assignments at building block levels to provide real-time exposure, thus supporting them to gain confidence to work in real world Data Science projects
  • JOB ASSISTANCE: A dedicated team , Placement Assistance Team (PAT), is tasked to assist candidates in preparing for the first Data Science job and mapping the job requirements to individual candidate profile.
  • FLEXIBLE LEARNING: DataMites™ provides flexible learning options from traditional classroom to Virtual classroom, Instructor led online and self learning.
  • LIBRARY: A Data Science library with collection of valuable Data Science books and publications, assisted check-in/check-out options.
  • DATA SCIENCE LAB: Access to Cloud Data Science lab with popular platforms, R, Python, Tensorflow etc.,
  • FRIENDLY STAFF: A friendly staff and dedicated counsellor, who are trained

This course comes as a perfect package by allowing you to learn about entire data lifecycle and all the methods to achieve the same. You would not just learn about the data analytics techniques and tools but also learn on how to apply them to raw data and obtain business insights.

R Language , originally designed for Statistical computing in 1990's , is now a popular platform for Data mining. Data mining has to do with exploring and discovering insights from the data. Data mining involves, statistics, data mugging and machine learning to achive this desired insights.

"Data Mining with R", is designed for candidates with or without programming skills, with basics of Data importing, Data mugging and coding Machine Learning algorithms along with effective programming techniques.

The objective of this course is to provide the fundamentals of R programing and introduce Data Science concepts and Machine Learning.

 

  • R Fundamentals : Understanding R syntax, data types, operators, conditional statements, functions. Writing simple R scripts for Data Science
  • Data Science essentials: Understand core concepts of Data Science. Data exploration, data mugging, data pre-processing and transforming Data for further analysis. Gain familiarity with R packages
  • R for Machine Learning(ML): Understand core concepts of Machine Learning and practice simple ML algorithms using R machine learning packages.

This course is at intermediate level, so most Data Science aspirants can opt for Data Mining with R

 

  • Basic Programming is recommended
  • Basic Statistics knowledge is recommended

R is the most popular programming language in Machine Learning and Deep Learning alorithms as on Today. A quick search in indeed.com reveals about 20,000 open job opportunities in USA alone as a day average in year 2017 for R professionals. This trends is only going to increase exponentially in year 2018 to 2020, aligning to 3 million Data Science job opportunities by 2020 as estimated by IBM Inc.

This course is designed to imbibe the best practice programming skills in Data Mining with R with real world Machine Learning case studies. Candiates pursuing this course will be aligned with the current market job requirements.

Any professional aspiring to become a Data Scientist can start from this course.

 

  • Candidates wanted to pursue Data Science career, with basic or no programming skills
  • Seasoned convential programmer aiming to gain basic machine learning coding skills
  • Job seekers, pursuing career as Data Science Developer
  • Professionals, who's job involves Data Science and R.

In recent years, R gained popularity for Machine Learning. This course provide the advantage of cutting complexity of R Language and focus on learning Data Mining with R in most efficient and effective manner to become R Data Science developer.

At DataMites™, we truly believe and very excited about this big wave of Data Science. There are millions of jobs and business opportunities across the globe as of today and this is only going to increase exponentially in coming years.

DataMites is founded by a group of passionate Data Science evangelists with decades of experience in Analytics, big data and Data Science working with fortune 100 companies, across the globe. The mission of DataMites™ is enable data science professionals with strong data science skills aligned market requirements and be a part of this phenominal Data Science era.

 

  • PASSIONATE: We are passionate in enabling professionals with best practice Data Science skills
  • ACCREDITED: DataMites™ is accredited with "International Association of Bussiness Analytics Certifications (IABAC™)", aligning the syllabus with global market requirements
  • HANDS ON PROJECTS : On course completion, worthy candidates are involved in consulting assignments at building block levels to provide real-time exposure, thus supporting them to gain confidence to work in real world Data Science projects
  • JOB ASSISTANCE: A dedicated team , Placement Assistance Team (PAT), is tasked to assist candidates in preparing for the first Data Science job and mapping the job requirements to individual candidate profile.
  • FLEXIBLE LEARNING: DataMites™ provides flexible learning options from traditional classroom to Virtual classroom, Instructor led online and self learning.
  • LIBRARY: A Data Science library with collection of valuable Data Science books and publications, assisted check-in/check-out options.
  • DATA SCIENCE LAB: Access to Cloud Data Science lab with popular platforms, R, R, Tensorflow etc.,
  • FRIENDLY STAFF: A friendly staff and dedicated counsellor, who are trained to guide you in your career ambitions.
  • REQUEST

R shiny is a data visualization software that create interactive visualization, where users can set filters, focus on specific areas , sort data and many more. R-Shiny has become a popular tools for interactive data visualization. This course is designed assuming no prior R-shiny knowlege, with an emphasis on hands on learning to master R-Shiny.

This course covers key features of R-shiny in creating interactive visualizations, along with data visualization basics so that you can generate a impressively visualizations.

  • Introduce Visualization basics
  • Learning key features of R-Shiny
  • Basic R language programming skills are required.
  • General Data visualization skills are recommended

Data Visualization is very crucial in data science as the insights are derived from it. R-shiny shines in this space as it is full feature data visualization tool, which is open source. Many organization are adapting R-Shiny and is the high demand for R-shiny specialist in the market.

Everybody interested in visualization and data science can opt for this course..

 

  • Business Analysts
  • Data Scientists

This course cover most of the popular deep learning algorithms along with the application on a case study. This course will help you build a AI career an effective manner.

At DataMites™, we truly believe and very excited about this big wave of Data Science. DataMites™ work with globally renowned Machine Learning experts in designing as well delivering training course.We also deliver Articifial Intelligence consulting project to our European clients.

DataMites is founded by a group of passionate Data Science evangelists with decades of experience in Analytics, big data and Data Science working with fortune 100 companies, across the globe. The mission of DataMites™ is enable data science professionals with strong data science skills aligned market requirements and be a part of this phenominal Data Science era.

 

  • PASSIONATE: We are passionate in enabling professionals with best practice Data Science skills
  • ACCREDITED: DataMites™ is accredited with "International Association of Bussiness Analytics Certifications (IABAC™)", aligning the syllabus with global market requirements
  • HANDS ON PROJECTS : On course completion, worthy candidates are involved in consulting assignments at building block levels to provide real-time exposure, thus supporting them to gain confidence to work in real world Data Science projects
  • JOB ASSISTANCE: A dedicated team , Placement Assistance Team (PAT), is tasked to assist candidates in preparing for the first Data Science job and mapping the job requirements to individual candidate profile.
  • FLEXIBLE LEARNING: DataMites™ provides flexible learning options from traditional classroom to Virtual classroom, Instructor led online and self learning.
  • LIBRARY: A Data Science library with collection of valuable Data Science books and publications, assisted check-in/check-out options.
  • DATA SCIENCE LAB: Access to Cloud Data Science lab with popular platforms, R, Python, Tensorflow etc.,
  • FRIENDLY STAFF: A friendly staff and dedicated counsellor, who are trained

Artificial Intelligence(AI) entered main stream and revolutionizing the way we do the business. AI is increasingly being adapted in automating many jobs with much high productivity, lower cost and scalable solutions. It is reported by PWC in publication that about 50% human jobs will be taken away by AI in next 5 years. There is already a big demand for AI specialists and this demand will be expotentially growing in coming years.

DataMites Artificial Intelligence course is designed to lay strong foundation of AI basics and build on skills aligned to current industry requirements, to get you ready for AI career. This course covers popular Deep Learning algorithms: Convolutional Networks, BatchNorm, RNNS etc., with the case studies from autonomous driving, healthcare, Natural language processing etc.,

  • Introduce Deep Learning AI algorithms
  • Improving Deep Learning models with Optimization and Hyperparameter tuning
  • Convolutional Neural Networks
  • Structuring Deep Learning Projects
  • Hands on Case Study
  • Machine Learning essential knowledge is mandatory
  • Basic Python programming skills is required.

Artificial Intelligence is revolutionizing the way business. Learning Deep Learning will make you a scare , highly in demand, resource and has potential to super charge your career growth. In simple words, this course will help you build a career in most coveted domain , AI.

This course is an advanced course, professionals with essential knowledge in Machine Learning and aspiring to be AI specialst can opt.

 

  • Professionals aspiring to become AI specialist
  • Machine learning professionals wanted to move up this the ladder with AI skills

This course cover most of the popular AI , deep learning algorithms along with the application case study. This course will help you build a AI career in an effective manner.

DataMites™ is the global institute for Data Science accredited by International Association of Business Analytics Certifications (IABAC). DataMites provides flexible learning options from Classroom training, Live Online to high quality recorded sessions

The 6 Key reasons to choose Data Mites™

IABAC™ Accredited

  • Globally reputed certification
  • Syllabus Aligned with IABAC global market standards

Elite Faculty & Mentors

  • Best in industry faculty from IIMs
  • Course structured by Professors in Data Science from top universities
  • Ensures high quality learning experience

Learning Approach

  • Learning through case study approach
  • Theory → Hands On → Case Study → Project → Model Deployment

10+ Industry Projects

  • 10+ Industry related projects
  • Enabling candidates to gain real time skills, also boosting confidence for real challenges

PAT (Placement Assistance Team)

  • Dedicated PAT (Placement assistanceTeam)
  • Resume assist service
  • Mapping candidates to verified jobs by PAT team
  • Supporting in Interview preparation

24x7 Cloud Lab for ONE year

  • High capacity data science cloud lab
  • All Machine Learning python and R scripts on cloud lab for quick reference
  • Enable participants to practice Data Science even with their mobile phones through cloud lab

DataMites™ has been focusing on building full Stack Data Science professionals with intense training that gives them all the tools, techniques, and core concepts needed to make a better impact in the Data World. DataMites™ Diploma in Data Science training is one such initiative focusing on young grads and fresher who are passionate about Data field and want to define their career in this fastest growing technology. This learning consists of all the essential areas such as Python, Statistics, Machine Learning, Time series foundation, Model deployment, Deep Learning, Tableau and Data Science business concepts that a Data scientists need to be specialized. It allows you to go through structured classroom training sessions regularly happening in Bangalore and lets you master the concepts under the guidance of industry experts.

The Internet of Things (IoT) is beginning of new era in technology, where things communicate among themselves to take decisions, providing solutions that could simply NOT possible otherwise. The IoT is the network of devices, buildings, utilities, vehicles and other items, embedded with smart electronics, sensors and network connectivity, which enables these objects to collect data, process, take decisions with coded logic and exchange data.

The IoT has potential to transform human lives in terms of consumer habits, personalization and the way we do business. With the pace of latest innovations in field of IoT, it is estimated that more than 50 billion devices will be connected via the Internet, with business potential of over USD 3 trillion by 2020.

This course is designed to enable the candidates to gain core knowledge of IoT and apply IoT concepts , hands on, to the industry relevant use cases. Candidates participating in this course shall be using Raspberry pi kit with sensors to practice IoT, with at 5 use cases to gain hands on practical experience. Course also covers the various roles and responsibilities of an IoT Developer and how to switch career in IoT.

  • Understanding IoT concepts and application
  • IoT architecture at applicationlevel
  • Configure Raspberry Pi, Sensors and Actuators
  • programing with Python on Raspberry Pi
  • Program Sensors (Sense-HAT board), Face Detection and reorganization using OpenCV-Python
  • Understand various IoT Networking Protocols used to develop communication solutions
  • End-to-End Solution architecture using Raspberry Pi, Sense HAT and Azure
  • IoT challenges and business solutions
  • Research scope, Alexa Voice Bot on Raspberry Pi

DataMites™ Diploma in Data Science training is specially curated by industry experts to impart the best knowledge needed to kick start a most challenging Data Scientist role. Our course helps the fresher’s to

  • Gain a thorough understanding of Data Science concepts that include Statistics, Machine Learning, Tableau, Deep Learning, Time series foundation and Data Science business concepts.
  • Comprehensive knowledge on Machine Learning as it covers both Associate and Expert courses.
  • Ability to perform Model Deployment independently.
  • Exposure to real-life case scenarios with hands-on 5+ detailed Industry related projects.
  • 3-month Project Mentoring with unlimited Projects from diverse industries.
  • Exposure to Large collection of interview questions.
  • Basic programming skills is recommended but not mandatory
  • Electronics awareness is recommended but not mandatory

DataMites™ Diploma in Data Science training will transform the freshers to a Data Science expert and successfully add value to their career. With exposure to detailed industry related projects and project mentoring, it turns them into an industry ready Data Scientist. During this DataMites™ Diploma in Data Science course, you will be trained in the classroom by our experts to

  • Gain a better knowledge of the entire Data Science project workflow.
  • Understand key concepts of statistics
  • Gain hands-on knowledge of popular Machine learning algorithms
  • In-depth knowledge of Data Mining, Data forecasting, and Data Visualization
  • Able to create a business case for Data Science project
  • Deliver end to end data science project to the customer

Internet of Things is the next big thing in technology space after invention of Internet as most experts say.IoT has potential to impact millions of lives throughout the world with betterment of health care, logistics and very way of living. As per Cisco, over 50 billions devices will be connected through internet by 2020.

IoT will be integral part of domains such as Healthcare, Logistics, Education, Information Technology and many other verticals. There will be huge demand for IoT certified professionals in all areas of business to cater this huge revolution in technology. Learning IoT will position you to takep perfect advantage of being a part of early IoT developer, thereby putting your career in elite fast track. For coming few decades, IoT shall remain the most coveted skill in the market.

This course is an intermediate course, professionals with minimum background in programming and basic understanding of electionics, will be ideal. Candidates without knowledge can also opt for this course as the syllabus doesn't assume any prior knowledge

 

  • Professionals aspiring to become IoT practitioners
  • Professionals involved in connected devices job and wanted to catch up with next evolution
  • Beginners wanted to start their career with IoT

DataMites™ is the top training provider accredited by the International Association of Business Analytics Certifications (IABAC) who is offering Data Science courses. DataMites™ Data Science classroom course comes with the following benefits

  • Global reputation since the syllabus is aligned with IABAC global market standards
  • Elite instructors who are backed with years of Industry experience in Data Science
  • Structured learning approach with real-time exposure
  • Exposure to different industry related projects.
  • 24/7 high capacity cloud lab to practice what that has been taught

Internet of Things (IoT) is the next big thing in technology. There are millions of opportunities estimated across the globe in next few years. Being a certified IoT practitioner, you will be able to distinguish from competition in pursuing the right career in IoT.

DataMites™ is the global institute for Data Science accredited by International Association of Business Analytics Certifications (IABAC). DataMites provides flexible learning options from Classroom training, Live Online to high quality recorded sessions

The 6 Key reasons to choose Data Mites™

Accredited

  • Globally reputed certification for IoT
  • Syllabus Aligned with global market standards

Elite Faculty & Mentors

  • Best in industry faculty from IIMs
  • Course structured by Professors in Data Science from top universities
  • Ensures high quality learning experience

Learning Approach

  • Learning through case study approach
  • Theory → Hands On → Case Study → Project → Model Deployment

10+ Industry Projects

  • 10+ Industry related projects
  • Enabling candidates to gain real time skills, also boosting confidence for real challenges

PAT (Placement Assistance Team)

  • Dedicated PAT (Placement assistanceTeam)
  • Resume assist service
  • Mapping candidates to verified jobs by PAT team
  • Supporting in Interview preparation

24x7 Cloud Lab for ONE year

  • High capacity data science cloud lab
  • All Machine Learning python, R scripts and IoT codes on cloud lab for quick reference
  • Enable participants to practice Data Science and IoT models even with their mobile phones through cloud lab

Become an expert in this lucrative "Data Mining" field with DataMites's training program. This Data Mining program provides requisite knowledge on concepts of Data analysis using R language and also the techniques of Machine learning and Text Mining. These are the most premier and demanding concepts needed to analyse the huge volume of data from different perspectives to gain better business insights. By choosing this DataMite's "Data Mining" course, it allows you to set your complete focus on these specified topics, R language, Machine learning and Text Mining to gain a specialisation.

Your big career move is all set now, as this Data mining course focuses on specialisation of skill set involving the techniques of Machine learning, Text Mining using the R programming language. Opting this course would be a perfect idea to explore, analyse and leverage data in order to arrive at valuable information for your company.

After successful completion of this "Data Mining" course, you should have acquired following skills

  • A complete knowledge about the R tool starting from the scratch of installing the tool. Acquire a thorough knowledge of the tool, also gain a better insight of Data manipulation as well as Data visualisation using the tool.
  • Gained an in-depth knowledge on this artificial intelligence Machine learning, which is a much demanded one in all the companies for an effective and powerful analysing of their business data. Both the foundation and Expert level are covered in this program.
  • Have attained the knowledge of Text mining and the major techniques used for mining and analysing the text data to derive at useful knowledge for the company. Also would have learned the statistical approach handled on text data with no or minimum human effort.

Data Mining is a powerful tool that many companies want to adapt in order to increase the accuracy of results they arrive from their raw data. Since the companies are readily interested in applying these new technologies for their data analysis, there is already a steep growth of opportunities in this field. Though the data mining concept is not pretty new and has been there for decades, it is becoming popular because of increased amount of data, fast processing and reduced cost in storage. As a Data Analytics professional, after completing this course you would see an increased growth in your career.

  • Any professionals who are aspiring to make a career in Business analytics using R language in Text Mining and Machine learning can choose this course.
  • Even as a beginner, if you want to take a specialisation by learning R language along with text mining and machine learning then start right away with this course.
  • Even as a beginner, if you want to take a specialisation by learning R language along with text mining and machine learning then start right away with this course.

"Our search for world class career ended at DataMites" is what, quoted by all of our candidates. Only experts with real time experience and better understanding of concepts can teach the candidates well. True, we have world class faculties who can make you understand even the toughest concepts at ease. DataMite's certification that you acquire after completing this course has industry recognition and adds weightage to your resume.

In today's business, every feedback or comments from each and every customer is of highest important than ever before. Given the impact of social networks, every piece of text about a product or an organisation is directly related to the business. It is estimated that about 70% of this data is unstructured in social networks such as facebook, youtube etc., and mostly in text format.

This courses focusing on collection of Text mining techniques to analysis unstructured text data to transform them to insights for business decision making. The topics cover preprocessing the text data, analyzing with various text mining techniques, visualizing with real-world case study.

After successful completion of this “Text Mining” course, you should have acquired a better knowledge on

  • Text Mining introduction, Sentiment Analysis with R and Positive and Negative Word Cloud.
  • Also would have gained knowledge on Advanced regression using R language and the theory behind it.
  • Recommendation engine and the theory lying underneath is also touched upon.
  • Also would have gained knowledge on Advanced regression using R language and the theory behind it.

This courses doesn't have mandatory prerequisites. Basic programming knowledge is recommended.

Text Mining is one the areas of Data Science with wide business application. This course will get you ready for Data Analyst and related jobs in the market.

Data analysis of Business text data requires an important factor, that is understanding of natural language text. Since this is not possible with computers, you need effective statistical approaches along with computer language to attain potential information. Hence, Text Mining is considered as a next big thing in Business world. With limited Text Mining experts around, learning this “Text Mining” course will improve your efficiency as a business analysts and brings a definite uplift in your career.

Freshers, IT Professionals, Business analytics, Web Marketing analysts, Data Mining and statistical consultants with a knowledge of Basic statistics and R language, can take up this Text Mining course to learn the techniques of analysing the natural language text data. In general, analysts who wants to pioneer themselves in this charming Text Mining field can pick this course.

At DataMites™, we truly believe and very excited about this big wave of Data Science. There are millions of jobs and business opportunities across the globe as of today and this is only going to increase exponentially in coming years.

DataMites is founded by a group of passionate Data Science evangelists with decades of experience in Analytics, big data and Data Science working with fortune 100 companies, across the globe. The mission of DataMites™ is enable data science professionals with strong data science skills aligned market requirements and be a part of this phenominal Data Science era.

 

  • PASSIONATE: We are passionate in enabling professionals with best practice Data Science skills
  • ACCREDITED: DataMites™ is accredited with "International Association of Bussiness Analytics Certifications (IABAC™)", aligning the syllabus with global market requirements
  • HANDS ON PROJECTS : On course completion, worthy candidates are involved in consulting assignments at building block levels to provide real-time exposure, thus supporting them to gain confidence to work in real world Data Science projects
  • JOB ASSISTANCE: A dedicated team , Placement Assistance Team (PAT), is tasked to assist candidates in preparing for the first Data Science job and mapping the job requirements to individual candidate profile.
  • FLEXIBLE LEARNING: DataMites™ provides flexible learning options from traditional classroom to Virtual classroom, Instructor led online and self learning.
  • LIBRARY: A Data Science library with collection of valuable Data Science books and publications, assisted check-in/check-out options.
  • DATA SCIENCE LAB: Access to Cloud Data Science lab with popular platforms, R, Python, Tensorflow etc.,
  • FRIENDLY STAFF: A friendly staff and dedicated counsellor, who are trained to guide you in your career ambitions.
  • RE

DataMites's Tableau Associate is a best course to accelerate your Tableau skills. This course covers the entire concepts of Tableau after building a strong foundation. Tableau Associate is an instructor led training, offered through virtual classrooms conveniently at your place. Being a business data analysts, you need to master the skills of communicating practical implications which is effectively achieved through this course.

Tableau is a data visualisation tool used to depict all the data analytics results in a pictorial way. Hence, it is considered as a most convenient way for an easy understanding of complex information. “Tableau Associate” is a best certification program to learn about this Tableau concepts without taking a break from your work. When you hold this Tableau associate certification, you are distinguished as an expert in that domain. In addition, you also get noticed by your internal managers or your potential employers. Your resume with this Tableau associate certification show case your interest and domain expertise. Infact, this acts as a professional boost and open doors to new opportunities. Take up this DataMites's Tableau associate training program and be confident to take up specialisation projects to prove your self to the higher management.

Tableau is one of the best intelligence tool available in the market to analyse huge volume of business data. After successful completion of this “Tableau Associate” course, you should have acquired a better knowledge on

Knowing about the advantages of learning this course would definitely make you understand the importance of specialising in Tableau.

After you complete this course

  • As a fresher, you notice that your resume has gained more weightage and better job opportunities with good remuneration approaching you.
  • Working professionals can expect a promising career, better job opportunities and high salaries after attaining this "Tableau Associate" certification.

Best suited for Fresh Graduates and Professionals looking to move into analytics domain, Data Scientists, Business Intelligence Professionals, Software Professionals, Statisticians , Business Analysts, Project Managers and Data Visual Analysts Functional Experts.

The top reasons that we would gladly render to choose us are

  • DataMites's training are perfectly structured to cater the needs of the candidates who are attending the session
  • Our focus is not restricted on mere knowledge transfer but uses proven methods and case studies to get a real time experience
  • Our 100 + seasoned experts have vast knowledge on their industry who have the capability of dwelling deep into concepts and the business processes.
  • Our in house content development team create tailor made training materials for a better clarity of the concepts.
  • Datamites have a best support team to handle all our customer's queries.
  • Being transparent with all our commitments is our biggest asset.
  • We offer best industry rates for our training programs.
  • We offer online course which gives flexibility of learning at your free time without even pausing your work routines
  • We offer assignments, case studies and practical workshops which can help you to apply the concepts in practical situations at ease.

Certified Visual Analytics Expert (CVAE) is an authorized course from International Association of Business Analytics Certifications. This course is designed to provide a Visual Analytics knowledge with global standards and uses Tableau as tool for creating Visualization and Analytics reporting.

CVAE is a expert level course, which is designed to provide master knowledge on both Visual Analytics theory and hands on with Tableau. This course also covers a case study of creating complete reporting and visualzation for an organisation. After this course, you should able to manage any visualization or reporting tasks with Tableau Desktop.

This course objective is to provide an expert knowledge on Visual Analytics skills to design and manage the entire visualization for a business. The candidates should be thorough with below Tableau topics.

 

  • Visual Analytics Introduction
  • Visualization theories and rules of thumb
  • Visual perception & Cognitive issues in visualization
  • Graph and network data visualization
  • Tableau for Visual Analytics
  • Visual Analytics project.
  • Tableau Associate course or equivalent Tableau knowledge is mandatory

This course - Certified Visual Analytics Expert is designed to impact epxert skills on Visual Analytics and hands on mastery of Tableau 10.4. Everything you need to design and manage the entire visualizations for an organization is covered in this training.

This is a expert level course and any one, who is serious in pursuing career in Visual Analytics can opt for this course.

 

  • Data Scientists
  • Business Analysts
  • Data Analytics and reporting professionals
  • Freshers/Colleage grads who are interested in pursuing career in Visualization and Data Science

This course will help you to gain substantial knowledge in the field of Visual Analytics along with hands on with Tableau 10.4 in most effective manner.

At DataMites™, we truly believe and very excited about this big wave of Data Science. DataMites™ work with globally renowned Machine Learning experts in designing as well delivering training course.We also deliver Articifial Intelligence consulting project to our European clients.

DataMites is founded by a group of passionate Data Science evangelists with decades of experience in Analytics, big data and Data Science working with fortune 100 companies, across the globe. The mission of DataMites™ is enable data science professionals with strong data science skills aligned market requirements and be a part of this phenominal Data Science era.

 

  • PASSIONATE: We are passionate in enabling professionals with best practice Data Science skills
  • ACCREDITED: DataMites™ is accredited with "International Association of Bussiness Analytics Certifications (IABAC™)", aligning the syllabus with global market requirements
  • HANDS ON PROJECTS : On course completion, worthy candidates are involved in consulting assignments at building block levels to provide real-time exposure, thus supporting them to gain confidence to work in real world Data Science projects
  • JOB ASSISTANCE: A dedicated team , Placement Assistance Team (PAT), is tasked to assist candidates in preparing for the first Data Science job and mapping the job requirements to individual candidate profile.
  • FLEXIBLE LEARNING: DataMites™ provides flexible learning options from traditional classroom to Virtual classroom, Instructor led online and self learning.
  • LIBRARY: A Data Science library with collection of valuable Data Science books and publications, assisted check-in/check-out options.
  • DATA SCIENCE LAB: Access to Cloud Data Science lab with popular platforms, Tableau, Python, Tensorflow etc.,
  • FRIENDLY STAFF: A friendly staff and dedicated counsellor, who are t

Tableau is the most popular tool for Data Visualization and Analytics. Tableau can create stunning and insightful visualization with complex data with minimum effort. Tableau incorporate a simple but sofiscated data source management and data linking from multiple sources.Tableau is often used for business intelligence, statistic analysis and prediction as well.

DataMites™ Tableau Associate is a beginner level course, which is designed to provide essential knowledge on visual analytics and key features of Tableau with hands on practice. This course also covers a real-world project with Tableau to impact confidence to aspiring Tableau professinals in take up real-world assignment.

  • Visual Analytics basics
  • Learning key features of Tableau 10.4
  • Connecting and Managing multiple Data sources
  • Creating insightful Visualizations
  • Project on Tableau Visualization
  • No mandatory prerequisites
  • Basic knowledge in data visualization is recommended

This course - Tableau Associate is designed to impact basics of Visual Analytics and hands on knowledge of key features of Tableau 10.4. Everything you need to get a entry level Tableau job is covered in this training.

This is a beginner level course and any one, who is interested in visualization and data science can opt for this course.

 

  • C-Level Executives
  • Business Analysts
  • Data Analytics and reporting professionals
  • Freshers/Colleage grads who are interested in pursuing career in Visualization and Data Science
  • Data Scientists

This course is designed to provide a job oriented knowledge of Tableau and Visual Analytics in most effective manner. As a part of this course, a Tableau project needs to be delivered, thus impacting enough confidence to take up Tableau job in real world.

At DataMites™, we truly believe and very excited about this big wave of Data Science. DataMites™ work with globally renowned Machine Learning experts in designing as well delivering training course.We also deliver Articifial Intelligence consulting project to our European clients.

DataMites is founded by a group of passionate Data Science evangelists with decades of experience in Analytics, big data and Data Science working with fortune 100 companies, across the globe. The mission of DataMites™ is enable data science professionals with strong data science skills aligned market requirements and be a part of this phenominal Data Science era.

 

  • PASSIONATE: We are passionate in enabling professionals with best practice Data Science skills
  • ACCREDITED: DataMites™ is accredited with "International Association of Bussiness Analytics Certifications (IABAC™)", aligning the syllabus with global market requirements
  • HANDS ON PROJECTS : On course completion, worthy candidates are involved in consulting assignments at building block levels to provide real-time exposure, thus supporting them to gain confidence to work in real world Data Science projects
  • JOB ASSISTANCE: A dedicated team , Placement Assistance Team (PAT), is tasked to assist candidates in preparing for the first Data Science job and mapping the job requirements to individual candidate profile.
  • FLEXIBLE LEARNING: DataMites™ provides flexible learning options from traditional classroom to Virtual classroom, Instructor led online and self learning.
  • LIBRARY: A Data Science library with collection of valuable Data Science books and publications, assisted check-in/check-out options.
  • DATA SCIENCE LAB: Access to Cloud Data Science lab with popular platforms, Tableau, Python, Tensorflow etc.,
  • FRIENDLY STAFF: A friendly staff and dedicated counsellor, who are t

Tableau is the most popular tool for Data Visualization and Analytics. Tableau can create stunning and insightful visualization with complex data with minimum effort. Tableau incorporate a simple but sofiscated data source management and data linking from multiple sources.Tableau is often used for business intelligence, statistic analysis and prediction as well.

DataMites™ Tableau Expert is a expert level course, which is designed to provide master knowledge on Tableau Desktop with hands on practice. This course also covers a case study of creating complete reporting and visualzation for an organisation. After this course, you should able to manage any visualization or reporting tasks with Tableau Desktop.

This course objective is to provide an expert knowledge on Tableau 10.4 key features along with skills to design and manage the entire visualization for a business. The candidates should be thorough with below Tableau topics.

 

  • Visual Analytics basics
  • Learning key features of Tableau 10.4
  • Connecting and Managing multiple Data sources
  • Creating advanced Visualizations
  • Creating interactive Dashboards and animations
  • Calculated fields and Tableau scripting syntax
  • Tableau presentation with story and pages
  • Tableau Visualization project.
  • Tableau Associate course or equivalent Tableau knowledge is mandatory

This course - Tableau Expert is designed to impact epxert skills on Visual Analytics and hands on mastery of Tableau 10.4. Everything you need to design and manage the entire visualizations for an organization is covered in this training.

This is a expert level course and any one, who is serious in pursuing career in Tableau and visual analytics can opt for this course.

 

  • C-Level Executives
  • Data Scientists
  • Business Analysts
  • Data Analytics and reporting professionals
  • Freshers/Colleage grads who are interested in pursuing career in Visualization and Data Science

This course will help you to master Tableau 10.4 in most effective in fast track. There is a huge demand for Visual Analytics professionals as most of the organization decision making heavily depends on this capability, thus opening doors to better career options for candidates taking up this course.

At DataMites™, we truly believe and very excited about this big wave of Data Science. DataMites™ work with globally renowned Machine Learning experts in designing as well delivering training course.We also deliver Articifial Intelligence consulting project to our European clients.

DataMites is founded by a group of passionate Data Science evangelists with decades of experience in Analytics, big data and Data Science working with fortune 100 companies, across the globe. The mission of DataMites™ is enable data science professionals with strong data science skills aligned market requirements and be a part of this phenominal Data Science era.

 

  • PASSIONATE: We are passionate in enabling professionals with best practice Data Science skills
  • ACCREDITED: DataMites™ is accredited with "International Association of Bussiness Analytics Certifications (IABAC™)", aligning the syllabus with global market requirements
  • HANDS ON PROJECTS : On course completion, worthy candidates are involved in consulting assignments at building block levels to provide real-time exposure, thus supporting them to gain confidence to work in real world Data Science projects
  • JOB ASSISTANCE: A dedicated team , Placement Assistance Team (PAT), is tasked to assist candidates in preparing for the first Data Science job and mapping the job requirements to individual candidate profile.
  • FLEXIBLE LEARNING: DataMites™ provides flexible learning options from traditional classroom to Virtual classroom, Instructor led online and self learning.
  • LIBRARY: A Data Science library with collection of valuable Data Science books and publications, assisted check-in/check-out options.
  • DATA SCIENCE LAB: Access to Cloud Data Science lab with popular platforms, Tableau, Python, Tensorflow etc.,
  • FRIENDLY STAFF: A friendly staff and dedicated counsellor, who are t

This course - Deep Learning with Tensorflow is designed to explore Tensforflow from scratch and building Machine Learning models with real world data

  • Introduce Deep Learning
  • Deep Learning with Tensorflow
  • Tensorboard visualization
  • Hands on coding of Neural Networks with Tensorflow
  • Applying ML with Tensorflow on case study
  • Machine Learning essential knowledge is required.
  • Basic Python Programming is required.
  • Knowledge in Statistics is recommended

In recent years, Machine Learning has taken over a main stream business and evolved has a career track by itself. A quick search in job portals reveals about 20,000 Machine Learning job opportunities on daily basis in USA alone. This course explore Tensorflow platform through designing practical Machine Learning algorithms for real world cases and visualizing them with Tensorboard.

Tensorflow from Google, gaining popularity and a huge community of developers since its launch in Nov, 2015. Tensorflow is the most preferred for deep learning applications and Machine learning application chruning huge data. The advantage of hosting the production level Machine Learning application directly to Google Gloud is pursuading many Machine Learning experts to increasing choosing Tensforflow.

This course is recommended for candidate pursuing career in Data Science as Tensorflow is becoming a leading platform for Machine Learning

 

  • Data Scientist wanting to adopt to new technology - Tensorflow
  • Data science/ analytics professionals aspiring career as Tensorflow specialist
  • Candidates pursuing Data Scientist tracks

Machine Learning is gaining popular in all kinds of domains and Tensorflow is perceived as the major platform for ML. The advantage of this course is that you get a head start as this is new technology with huge market demand.

At DataMites™, we truly believe and very excited about this big wave of Data Science. DataMites™ work with globally renowned Machine Learning experts in designing as well delivering training course. There are millions of jobs and business opportunities in Data Science across the globe as of today and this is only going to increase exponentially in coming years.

DataMites is founded by a group of passionate Data Science evangelists with decades of experience in Analytics, big data and Data Science working with fortune 100 companies, across the globe. The mission of DataMites™ is enable data science professionals with strong data science skills aligned market requirements and be a part of this phenominal Data Science era.

 

  • PASSIONATE: We are passionate in enabling professionals with best practice Data Science skills
  • ACCREDITED: DataMites™ is accredited with "International Association of Bussiness Analytics Certifications (IABAC™)", aligning the syllabus with global market requirements
  • HANDS ON PROJECTS : On course completion, worthy candidates are involved in consulting assignments at building block levels to provide real-time exposure, thus supporting them to gain confidence to work in real world Data Science projects
  • JOB ASSISTANCE: A dedicated team , Placement Assistance Team (PAT), is tasked to assist candidates in preparing for the first Data Science job and mapping the job requirements to individual candidate profile.
  • FLEXIBLE LEARNING: DataMites™ provides flexible learning options from traditional classroom to Virtual classroom, Instructor led online and self learning.
  • LIBRARY: A Data Science library with collection of valuable Data Science books and publications, assisted check-in/check-out options.
  • DATA SCIENCE LAB: Access to Cloud Data Science lab with popular platforms, R, Python, Tensorflow etc.,

Deep Learning with Python course will get you ready for AI career. Deep Learning is also one of the highly coveted skill in the tech industry. This course covers popular Deep Learning algorithms: Convolutional Networks, BatchNorm, RNNS etc., with the case studies from autonomous driving, healthcare, Natural language processing etc., With this course, you will not only master the concept behind deep learning but also see the application of real world.

Syllabus

  • Business Analytics vs Big Data vs Data Science
  • Components of Data science: Venn diagram
  • Understanding Data Science Pipeline
  • Roles and Jobs in Data Science in the Market
  • Data Science Team Structure
  • Business / Domain Knowledge
  • Hacking / Programming Skills
  • Statistics
  • Machine Learning
  • Reading from Existing data from flat files and Data base
  • APIs
  • Web Scraping
  • Other Data gathering methods
  • Hands on importing Data
  • Basic Statistics
  • Exploratory graphs
  • Exploratory statistics
  • Programming basics
  • Python overview
  • R over view
  • SQL
  • Hypothesis Testing
  • Confidence
  • Validating
  • Decision trees
  • Ensembles
  • k-nearest neighbors (kNN)
  • Naive Bayes classifiers
  • Artificial neural networks
  • Introduction to Visual Analytics
  • Interpretability
  • Actionable insights
  • Various Graphical Representations
  • Data Science Learning sources
  • Data Science relevance in your career
  • How a data science resume looks like
  • Tips on job application
  • Introduction to AI
  • Components of AI
  • Why AI?
  • Industry Applications of AI
  • Q-Learning Introduction
  • Reinforcement Learning concepts
  • Marcov Decision Process
  • Adding a "Living Penalty"
  • Temporal Difference
  • Q-learning Visualization
  • Self Driving Car Introduction
  • Deep Q-Learning
  • Plan of Attack
  • Deep Q-Learning Intuition - Learning
  • Experience Replay
  • Action Selection Policies
  • Installation of environment for Self Driving Car
  • Building AI
  • Playing with AI
  • Challenge Solutions
  • Plan of Attack
  • Deep Convolutional Q-Learning Intuition
  • Eligibility Trace
  • Challenges in Building AI
  • Conclusion
  • What is IoT, how does it work
  • Difference between Embedded device and IoT device
  • Properties of IoT device
  • IoT Ecosystem
  • IoT Decision Framework
  • IoT Solution Architecture Models
  • How IoT is Transforming Businesses
  • Major IoT Boards in Market
  • Explore Raspberry Pi
  • Setting up Raspberry Pi
  • Showing working of Raspberry Pi using SSH Client and Team Viewer
  • Understand Sensing actions
  • Understand Actuators and MEMS
  • Hands On/Demo:
  • Programming Sense HAT Board
  • Build weather station using Sense HAT and Python
  • Prepare google spreadsheet for weather data collection
  • Understand OpenCV
  • Hands On/Demo:
  • Build a weather station using Sense HAT and store data in google sheets
  • Use OpenCV for face detection, face recognition with webcam
  • Types of wireless communication
  • Major wireless Short-range communication devices, properties, comparison of these devices (Bluetooth, WIFI, ZigBee, 6LoWPAN)
  • Major wireless Long-range communication devices, properties, comparison of these devices (Cellular IoT, LPWAN)
  • Hands On/Demo:
  • Using RFID networking
  • Using other networks such as WiFi and Bluetooth
  • What is Cloud and its Infrastructure
  • How IoT and Cloud deployment can create an effective IoT Solution
  • Azure IoT Hub components
  • Hands On/Demo:
  • Create Free Tier Azure Account. Explore Azure IoT hub services and other useful features
  • Azure IoT Hub Service API Demo
  • Register your Raspberry Pi on Azure IoT Hub
  • Send and Receive messages from Raspberry Pi over Azure IoT Hub
  • Create Storage account and dock a container
  • View Data On-premise with Azure Storage Explorer
  • Configure Web App settings for Data Visualization
  • Hands On/Demo:
  • Create an End-to-End IoT solution using Python Device APIs
  • Plan how to customize a solution to meet specific requirements
  • Create a service bus namespace and add a queue to it
  • Add an endpoint and a routing rule to your IoT hub
  • Create, configure, and test a logic app
  • Data Analytics
  • Edge Computing
  • Azure IoT Edge
  • Azure IoT Edge Components
  • Azure IoT Edge Architecture
  • Real-Time Analytics
  • Hands On/Demo:
  • Deployment of Raspberry Pi as an Edge Device on Azure IoT Edge
  • Business challenge/requirement: As a technology enthusiast, you wish to automate controlling of multiple home appliances using human voice commands. The challenge is that you do not wish to procure a new device to do this. We can overcome this if we use AVS (Amazon Voice Service) from AWS cloud for speech analysis. We will use Raspberry Pi along with few additional hardware accessories as an Amazon Echo device. 
  • Control GPIO pins of Raspberry Pi
  • Amazon Alexa Skill development
  • RESTful web services using Python Flask module
  • Introduction to Text Mining concepts
  • Natural Language Content Analysis
  • Word Association and Mining
  • Text Representation
  • Syntagmatic Relation Discovery
  • Topic Mining and Analysis
  • Probabilistic Topic Models
  • Discriminative Classifier
  • Text Categorization: Evaluation
  • Opinion Mining and Sentiment Analysis
  • Positive and Negative Word Cloud
  • Text based prediction
  • Contextual Text Mining
  • Live Analysis of political views of citizen with social media content
  • Predicting Electorial outcomes with twitter, youtube comments with sentiment analysis
  • Hands on coding on real time data

The following topics are covered here

Module 1 - Introduction to Data Science with Python

  • Installing Python Anaconda distribution
  • Python native Data Types
  • Basic programing concepts
  • Python data science packages overview

Module 2 - Python Basics: Basic Syntax, Data Structures

  • Python Objects
  • Math & Comparision Operators
  • Conditional Statement
  • Loops
  • Lists, Tuples, Strings, Dictionaries, Sets
  • Functions
  • Exception Handling

Module 3 - Numppy Package

  • Importing Numpy
  • Numpy overview
  • Numpy Array creation and basic operations
  • Numpy Universal functions
  • Selecting and retrieving Data
  • Data Slicing
  • Iterating Numpy Data
  • Shape Manupilation
  • Stacking and Splitting Arrays
  • Copies and Views : no copy, shallow copy , deep copy
  • Indexing : Arrays of Indices, Boolean Arrays

Module 4 - Pandas Package

  • Importing Pandas
  • Pandas overview
  • Object Creation : Series Object , DataFrame Object
  • View Data
  • Selecting data by Label and Position
  • Data Slicing
  • Boolean Indexing
  • Setting Data

Module 5 - Python Advanced: Data Mugging with Pandas

  • Applying functions to data
  • Histogramming
  • String Methods
  • Merge Data : Concat, Join and Append
  • Grouping & Aggregation
  • Reshaping
  • Analysing Data for missing values
  • Filling missing values: fill with constant, forward filling, mean
  • Removing Duplicates
  • Transforming Data

Module 6 - Python Advanced: Visualization with MatPlotLib

  • Importing MatPlotLib & Seaborn Libraries
  • Creating basic chart : Line Chart, Bar Charts and Pie Charts
  • Ploting from Pandas object
  • Saving a plot
  • Object Oriented Plotting : Setting axes limits and ticks
  • Multiple Plots
  • Plot Formatting : Custom Lines, Markers, Labels, Annotations, Colors
  • Satistical Plots with Seaborn

Module 7 - Exploratory Data Analysis: Case Study

The following topics are covered here

Module 1: Introduction to Statistics

  • Two areas of Statistics in Data Science
  • Applied statistics in business
  • Descriptive Statistics
  • Inferential Statistics
  • Statistics Terms and definitions
  • Type of Data
  • Quantitative vs Qualitative Data
  • Data Measurement Scales

Module 2: Harnessing Data

  • Sampling Data, with and without replacement
  • Sampling Methods, Random vs Non-Random
  • Measurement on Samples
  • Random Sampling methods
  • Simple random, Stratified, Cluster, Systematic sampling.
  • Biased vs unbiased sampling
  • Sampling Error
  • Data Collection methods

Module 3: Exploratory Analysis

  • Measures of Central Tendencies
  • Mean, Median and Mode
  • Data Variability : Range, Quartiles, Standard Deviation
  • Calculating Standard Deviation
  • Z-Score/Standard Score
  • Empirical Rule
  • Calculating Percentiles
  • Outliers

Module 4: Distributions

  • Distribtuions Introduction
  • Normal Distribution
  • Central Limit Theorem
  • Histogram - Normalization
  • Other Distributions: Poisson, Binomial et.,
  • Normality Testing
  • Skewness
  • Kurtosis
  • Measure of Distance
  • Euclidean , Manhattan and Minkowski Distance

Module 5: Hypothesis & computational Techniques

  • Hypothesis Testing
  • Null Hypothesis, P-Value
  • Need for Hypothesis Testing in Business
  • Two tailed, Left tailed & Right tailed test
  • Hypothesis Testing Outcomes : Type I & II erros
  • Parametric vs Non-Parametric Testing
  • Parametric Tests , T - Tests : One sample, two sample, Paired
  • One Way ANOVA
  • Importance of Parametric Tests
  • Non Parametric Tests : Chi-Square, Mann-Whitney, Kruskal-Wallis etc.,
  • Which Test to Choose?
  • Ascerting accuracy of Data

Module 6: Correlation & Regression

  • Introduction to Regression
  • Type of Regression
  • Hands on of Regression with R and Python.
  • Correlation
  • Weak and Strong Correlation
  • Finding Correlation with R and Python

The following topics are covered here

Module 1: Machine Learning Introduction

  • What is Machine Learning
  • Applications of Machine Learning
  • Machine Learning vs Artificial Intelligence
  • Machine Learning Languages and platforms
  • Machine Learning vs Statistical Modelling

Module 2: Machine Learning Algorithms

  • Popular Machine Learning Algorithms
  • Clustering, Classification and Regression
  • Supervised vs Unsupervised Learning
  • Application of Supervised Learning Algorithms
  • Application of Unsupervised Learning Algorithms
  • Overview of modeling Machine Learning Algorithm : Train , Evaluation and Testing.
  • How to choose Machine Learning Algorithm?

Module 3: Supervised Learning

  • Simple Linear Regression : Theory, Implementing in Python (and R), Working on use case.
  • Multiple Linear Regression : Theory, Implementing in Python (and R), Working on use case.
  • K-Nearest Neighbors : Theory, Implementing in Python (and R), KNN advantages, Working on use case.
  • Decision Trees : Theory, Implementing in Python (and R), Decision |Tree Pros and Cons, Working on use case.

Module 4: Unsupervised Learning

  • K-Means Clustering: Theory, Euclidean Distance method.
  • K-Means hands on with Python (and R)
  • K-Means Advantages & Disadvantages

The following topics are covered here

Module 1: Advanced Machine Learning Concepts

  • Tuning with Hyper parameters.
  • Popular ML algorithms,
  • Clustering, classification and regression,
  • Supervised vs unsupervised.
  • Choice of ML algorithm
  • Grid Search vs Random search cross validation

Module 2: Principle Component Analysis (PCA)

  • Key concepts of dimensionality reduction
  • PCA theory
  • Hands on coding.
  • case study on PCA

Module 3: Random Forest - Ensemble

  • Key concepts of Randon Forest
  • Hands on coding.
  • Pros and cons.
  • case study on Random Forest

Module 4: Support Vector Machine (SVM)

  • Key concepts of Support Vector Machine.
  • Hands on coding.
  • Pros and Cons.
  • case study on SVM

Module 5: Natural Language Processing (NLP)

  • Key concepts of NLP.
  • Hands on coding.
  • Pros and Cons.
  • Text Processing with Vectorization
  • Sentiment analysis with TextBlob
  • Twitter sentiment analysis

Module 6: Naïve Bayes Classifier

  • Key concepts of Naive Bayes.
  • Hands on coding.
  • Pros and Cons
  • Naïve Bayes for text classification
  • New articles tagging

Module 7: Artificial Neural Network (ANN)

  • Basic ANN network for Regression and Classification
  • Hands on coding.
  • Pros and Cons
  • Case study on ANN, MLP

Module 8: Tensorflow overview and Deep Learning Intro

  • Tensorflow work flow demo
  • Introduction to deep learning.

Module 1: Tableau Introduction

  • Tableau Interface
  • Dimensions and measures
  • Filter shelf
  • Distributing and publishing

Module 2: Connecting to Data Source

  • Connecting to sources, Excel, Data bases, Api , Pdf
  • Extracting and interpreting data.

Module 3: Visual Analytics

  • Charts and plots with Super Store data

Module 4: Forecasting

  • Forecasting time series data

Module 1: Understanding Business Case

  • Components of Business Case.
  • ROI calculation techniques.
  • Scoping

Module 2: Writing Data Science Business Case

  • Defining Business opportunity.
  • Translating to Data Science problem.
  • Creating project plan

Module 3: Benefits Analysis

  • Demonstrating break even and benefits analysis with Data Science Solutions.
  • IRR benefits analyis
  • Discounted Cash Flow

Module 4: Starting project, Setting up Team and closing

  • Initiating Project
  • Setting up the Team
  • Controling project delivery
  • Closing project.

The following topics are covered in "Machine Learning"

Foundation:

Machine Learning Introduction: Supervised and Unsupervised Learning

  • Linear Regression Theory
  • Linear Regression Programming with R
  • Working on Case Study

Multiple Linear Regression

  • Theory behind multiple linear regression
  • Multiple Linear Regression with R
  • Working on Case Study

Decision Tree:

  • Theory Behind Decision Tree
  • Decision Tree with R
  • Working on Case Study

Naive Bayes:

  • Theory behind Naïve Bayes classifiers
  • Naive Bayes Classifiers with R
  • Working on Case Study

Support Vector Machines:

  • Theory behind Support Vector Machines
  • Support vector machines with R
  • Improving the performance with Kernals
  • Working on Case Study

Association Rule:

  • Theory behind Association Rule
  • Working on Case Studies

Expert:

Neural Net:

  • Artificial Neural Network
  • Connection Weights in Neural Network
  • Generating Neural Network with R
  • Improving Neural Network Accuracy with Hidden Layers
  • Working on Case

Random Forest:

  • Theory behind Random Forest
  • Random Forest with R
  • Improving performance of Random Forest
  • Working on Case Study

Recommendation Engine:

  • Theory behind Recommendation Engines
  • Working on Case Study with R

Dimension Reduction:

  • Theory behind Recommendation Engine
  • Working on Case Studies
  • Popular Machine Learning Algorithms
  • Clustering, Classification and Regression
  • Supervised vs Unsupervised Learning
  • Choice of Machine Learning
  • Simple and Multiple Linear Regression
  • KNN etc...
  • Theory of Linear Regression
  • Hands on with use Cases
  • Naïve Bayes for text classification
  • New Articles Tagging
  • K-means Clustering
  • Tuning with Hyper Parameters
  • Popular ML Algorithms
  • Clustering, Classification and Regression
  • Supervised vs Unsupervised
  • Choice of ML Algorithm
  • Ensemble Theory
  • Random Forest Tuning
  • Simple and Multiple Linear regression
  • KNN
  • Text Processing with Vectorization
  • Sentiment analysis with TextBlob
  • Twitter sentiment analysis.
  • Basic ANN network for regression and classification
  • Tensorflow work flow demo and intro to deep learning
  • Introduction to visual analytics
  • Principles of Visual analytics
  • Data Intrep
  • Pivot Tables
  • Split Tables
  • Time Series Chart
  • Bar Plot
  • Scatter Plot
  • Histograms
  • Boxplot
  • Word Cloud
  • Bubble Chart
  • Side by Side chart
  • Dual Combinated Chart
  • Quick table calculation, Ad-Hoc, Calculated fields, Lookup, If-Else, Case, ZN, Parameter
  • Symbol Maps, Animated Maps, Filled Maps, Actions between Maps, Sets, Dashboards and Storytelling

The following topics are covered here

Module 1 - Introduction to Data Science with Python

  • Installing Python Anaconda distribution
  • Python native Data Types
  • Basic programing concepts
  • Python data science packages overview

Module 2 - Python Basics: Basic Syntax, Data Structures

  • Python Objects
  • Math & Comparision Operators
  • Conditional Statement
  • Loops
  • Lists, Tuples, Strings, Dictionaries, Sets
  • Functions
  • Exception Handling

Module 3 - Numppy Package

  • Importing Numpy
  • Numpy overview
  • Numpy Array creation and basic operations
  • Numpy Universal functions
  • Selecting and retrieving Data
  • Data Slicing
  • Iterating Numpy Data
  • Shape Manupilation
  • Stacking and Splitting Arrays
  • Copies and Views : no copy, shallow copy , deep copy
  • Indexing : Arrays of Indices, Boolean Arrays

Module 4 - Pandas Package

  • Importing Pandas
  • Pandas overview
  • Object Creation : Series Object , DataFrame Object
  • View Data
  • Selecting data by Label and Position
  • Data Slicing
  • Boolean Indexing
  • Setting Data

Module 5 - Python Advanced: Data Mugging with Pandas

  • Applying functions to data
  • Histogramming
  • String Methods
  • Merge Data : Concat, Join and Append
  • Grouping & Aggregation
  • Reshaping
  • Analysing Data for missing values
  • Filling missing values: fill with constant, forward filling, mean
  • Removing Duplicates
  • Transforming Data

Module 6 - Python Advanced: Visualization with MatPlotLib

  • Importing MatPlotLib & Seaborn Libraries
  • Creating basic chart : Line Chart, Bar Charts and Pie Charts
  • Ploting from Pandas object
  • Saving a plot
  • Object Oriented Plotting : Setting axes limits and ticks
  • Multiple Plots
  • Plot Formatting : Custom Lines, Markers, Labels, Annotations, Colors
  • Satistical Plots with Seaborn

Module 7 - Exploratory Data Analysis: Case Study

The following topics are covered here

Module 1: Introduction to Statistics

  • Two areas of Statistics in Data Science
  • Applied statistics in business
  • Descriptive Statistics
  • Inferential Statistics
  • Statistics Terms and definitions
  • Type of Data
  • Quantitative vs Qualitative Data
  • Data Measurement Scales

Module 2: Harnessing Data

  • Sampling Data, with and without replacement
  • Sampling Methods, Random vs Non-Random
  • Measurement on Samples
  • Random Sampling methods
  • Simple random, Stratified, Cluster, Systematic sampling.
  • Biased vs unbiased sampling
  • Sampling Error
  • Data Collection methods

Module 3: Exploratory Analysis

  • Measures of Central Tendencies
  • Mean, Median and Mode
  • Data Variability : Range, Quartiles, Standard Deviation
  • Calculating Standard Deviation
  • Z-Score/Standard Score
  • Empirical Rule
  • Calculating Percentiles
  • Outliers

Module 4: Distributions

  • Distribtuions Introduction
  • Normal Distribution
  • Central Limit Theorem
  • Histogram - Normalization
  • Other Distributions: Poisson, Binomial et.,
  • Normality Testing
  • Skewness
  • Kurtosis
  • Measure of Distance
  • Euclidean , Manhattan and Minkowski Distance

Module 5: Hypothesis & computational Techniques

  • Hypothesis Testing
  • Null Hypothesis, P-Value
  • Need for Hypothesis Testing in Business
  • Two tailed, Left tailed & Right tailed test
  • Hypothesis Testing Outcomes : Type I & II erros
  • Parametric vs Non-Parametric Testing
  • Parametric Tests , T - Tests : One sample, two sample, Paired
  • One Way ANOVA
  • Importance of Parametric Tests
  • Non Parametric Tests : Chi-Square, Mann-Whitney, Kruskal-Wallis etc.,
  • Which Test to Choose?
  • Ascerting accuracy of Data

Module 6: Correlation & Regression

  • Introduction to Regression
  • Type of Regression
  • Hands on of Regression with R and Python.
  • Correlation
  • Weak and Strong Correlation
  • Finding Correlation with R and Python

The following topics are covered here

Module 1: Machine Learning Introduction

  • What is Machine Learning
  • Applications of Machine Learning
  • Machine Learning vs Artificial Intelligence
  • Machine Learning Languages and platforms
  • Machine Learning vs Statistical Modelling

Module 2: Machine Learning Algorithms

  • Popular Machine Learning Algorithms
  • Clustering, Classification and Regression
  • Supervised vs Unsupervised Learning
  • Application of Supervised Learning Algorithms
  • Application of Unsupervised Learning Algorithms
  • Overview of modeling Machine Learning Algorithm : Train , Evaluation and Testing.
  • How to choose Machine Learning Algorithm?

Module 3: Supervised Learning

  • Simple Linear Regression : Theory, Implementing in Python (and R), Working on use case.
  • Multiple Linear Regression : Theory, Implementing in Python (and R), Working on use case.
  • K-Nearest Neighbors : Theory, Implementing in Python (and R), KNN advantages, Working on use case.
  • Decision Trees : Theory, Implementing in Python (and R), Decision |Tree Pros and Cons, Working on use case.

Module 4: Unsupervised Learning

  • K-Means Clustering: Theory, Euclidean Distance method.
  • K-Means hands on with Python (and R)
  • K-Means Advantages & Disadvantages

The following topics are covered here

Module 1: Advanced Machine Learning Concepts

  • Tuning with Hyper parameters.
  • Popular ML algorithms,
  • Clustering, classification and regression,
  • Supervised vs unsupervised.
  • Choice of ML algorithm
  • Grid Search vs Random search cross validation

Module 2: Principle Component Analysis (PCA)

  • Key concepts of dimensionality reduction
  • PCA theory
  • Hands on coding.
  • case study on PCA

Module 3: Random Forest - Ensemble

  • Key concepts of Randon Forest
  • Hands on coding.
  • Pros and cons.
  • case study on Random Forest

Module 4: Support Vector Machine (SVM)

  • Key concepts of Support Vector Machine.
  • Hands on coding.
  • Pros and Cons.
  • case study on SVM

Module 5: Natural Language Processing (NLP)

  • Key concepts of NLP.
  • Hands on coding.
  • Pros and Cons.
  • Text Processing with Vectorization
  • Sentiment analysis with TextBlob
  • Twitter sentiment analysis

Module 6: Naïve Bayes Classifier

  • Key concepts of Naive Bayes.
  • Hands on coding.
  • Pros and Cons
  • Naïve Bayes for text classification
  • New articles tagging

Module 7: Artificial Neural Network (ANN)

  • Basic ANN network for Regression and Classification
  • Hands on coding.
  • Pros and Cons
  • Case study on ANN, MLP

Module 8: Tensorflow overview and Deep Learning Intro

  • Tensorflow work flow demo
  • Introduction to deep learning.

Module 1: Tableau Introduction

  • Tableau Interface
  • Dimensions and measures
  • Filter shelf
  • Distributing and publishing

Module 2: Connecting to Data Source

  • Connecting to sources, Excel, Data bases, Api , Pdf
  • Extracting and interpreting data.

Module 3: Visual Analytics

  • Charts and plots with Super Store data

Module 4: Forecasting

  • Forecasting time series data

Module 1: Understanding Business Case

  • Components of Business Case.
  • ROI calculation techniques.
  • Scoping

Module 2: Writing Data Science Business Case

  • Defining Business opportunity.
  • Translating to Data Science problem.
  • Creating project plan

Module 3: Benefits Analysis

  • Demonstrating break even and benefits analysis with Data Science Solutions.
  • IRR benefits analyis
  • Discounted Cash Flow

Module 4: Starting project, Setting up Team and closing

  • Initiating Project
  • Setting up the Team
  • Controling project delivery
  • Closing project.

Introduction to R:

  • Installing R
  • Installing R Studio
  • Creating Objects in R
  • Creating Arrays
  • Creating Data frames
  • Use of Structure
  • Dimensions
  • Loading CSv files, Foreign packages into R

Data Manipulation with R:

  • Loading vectors in R
  • Combining to vectors in R
  • Cleaning Data with R, Swapping Data, Sorting Data, Converting unstructured to structured data, usage of sub, gsub, regexpr, gregexpr, apply, lapply, sapply

Data Visualization with R:

  • Usage of Plot, lines, boxplot, stars, barplot, pie, hist, rug, sunflowerplot, various color of histograms, tabplot, ggplot2, maptools and extracting data from URLs

The following topics are covered in "Machine Leaning"

Foundation:

Machine Learning Introduction: Supervised and Unsupervised Learning

  • Linear Regression Theory
  • Linear Regression Programming with R
  • Working on Case Study

Multiple Linear Regression

  • Theory behind multiple linear regression
  • Multiple Linear Regression with R
  • Working on Case Study

Decision Tree:

  • Theory Behind Decision Tree
  • Decision Tree with R
  • Working on Case Study

Naive Bayes:

  • Theory behind Naïve Bayes classifiers
  • Naive Bayes Classifiers with R
  • Working on Case Study

Support Vector Machines:

  • Theory behind Support Vector Machines
  • Support vector machines with R
  • Improving the performance with Kernals
  • Working on Case Study

Association Rule:

  • Theory behind Association Rule
  • Working on Case Studies

Expert:

Neural Net:

  • Artificial Neural Network
  • Connection Weights in Neural Network
  • Generating Neural Network with R
  • Improving Neural Network Accuracy with Hidden Layers
  • Working on Case

Random Forest:

  • Theory behind Random Forest
  • Random Forest with R
  • Improving performance of Random Forest
  • Working on Case Study

Recommendation Engine:

  • Theory behind Recommendation Engines
  • Working on Case Study with R

Dimension Reduction:

  • Theory behind Recommendation Engine
  • Working on Case Studies

The topic covered in "Text Mining" are

Text Mining:

  • Introduction to Text Mining concepts
  • Sentiment Analysis with R/li>
  • Positive and Negative Word Cloud
  • Case study on Sentiment analysis

Advanced Regression

  • Theory Behind Advanced Regression
  • Advanced Regression with R
  • Working on Case Study

Web Analytics:

  • Theory behind Web Analytics
  • Working on Case Study

The following topics are covered here

Module 1 - Introduction to Data Science with Python

  • Installing Python
  • Programming basics
  • Native Data types

Module 2 - Python Basics: Basic Syntax, Data Structures

  • Data objects
  • Math
  • Comparison Operators
  • Condition Statements
  • Loops
  • Lists
  • Tuples
  • Sets
  • Dicts
  • Functions

Module 3 - Numpy Package

  • Numpy overview
  • Array
  • Selecting Data
  • Slicing
  • Iterating
  • Manuplications
  • Stacking
  • Splitting Arrays
  • Functions

Module 4 - Pandas Package

  • Pandas overview
  • Series and DataFrame
  • Manuplication

Module 5 - Python Advanced: Data Mugging with Pandas

  • Histogramming
  • Grouping
  • Aggregation
  • Treating Missing Values
  • Removing Duplicates
  • Transforming data

Module 6 - Python Advanced: Visualization with MatPlotLib

  • Importing MatPlotLib & Seaborn Libraries
  • Creating basic chart : Line Chart, Bar Charts and Pie Charts
  • Ploting from Pandas object
  • Saving a plot
  • Object Oriented Plotting : Setting axes limits and ticks
  • Multiple Plots
  • Plot Formatting : Custom Lines, Markers, Labels, Annotations, Colors
  • Satistical Plots with Seaborn

Module 7 - Exploratory Data Analysis:

  • Data Cleaning
  • Data Wrangling

Module 8 - Exploratory Data Analysis: Case Study

The following topics are covered here

Module 1: Introduction to Statistics

  • Descriptive and Inferential Statistics
  • Definitions
  • Terms
  • Types of Data

Module 2: Harnessing Data

  • Types of Sampling Data
  • Simple Random Sampling
  • Stratified
  • Cluster Sampling
  • Sampling Error

Module 3: Exploratory Analysis

  • Mean
  • Median and Mode
  • Data Variability
  • Standard Deviation
  • Z-Score
  • Outliers

Module 4: Distributions

  • Normal Distribution
  • Central Limit Theorem
  • Histogram - Normalization
  • Normality Tests
  • Skewness
  • Kurtosis

Module 5: Hypothesis & computational Techniques

  • Hypothesis Testing
  • Null Hypothesis
  • P-Value
  • Type I & II errors
  • Parametric Testing: T - Tests
  • Anova Test
  • Non-Parametric Testing
  • Ascerting accuracy of Data

Module 6: Correlation & Regression

  • Introduction to Regression
  • Type of Regression
  • Hands on of Regression with R and Python.
  • Correlation
  • Weak and Strong Correlation
  • Finding Correlation with R and Python

The following topics are covered here

Module 1: Machine Learning Introduction

  • What is Machine Learning
  • Machine Learning vs Artificial Intelligence
  • Machine Learning Workflow
  • Statistical Modeling of Machine Learning
  • Application of Machine Learning

Module 2: Machine Learning Algorithms

  • Popular Machine Learning Algorithms
  • Clustering, Classification and Regression
  • Supervised vs Unsupervised Learning
  • Choice of Machine Learning

Module 3: Supervised Learning

  • Simple and Multiple Linear Regression
  • KNN etc...

Module 4: Linear Regression and Logistic Regression

  • Theory of Linear Regression
  • Hands on with use Cases

Module 5: K-Nearest Neighbour (KNN)

Module 6: Decision Tree

Module 7: Naïve Bayes Classifier

Module 8: Unsupervised Learning

  • K-means Clustering

The following topics are covered here

Module 1: Advanced Machine Learning Concepts

  • Tuning with Hyper Parameters
  • Popular ML Algorithms
  • Clustering, Classification and Regression
  • Supervised vs Unsupervised
  • Choice of ML Algorithm

Module 2: Random Forest – Ensemble

  • Ensemble Theory
  • Random Forest Tuning

Module 3: Support Vector Machine (SVM)

  • Simple and Multiple Linear regression
  • KNN

Module 4: Natural Language Processing (NLP)

  • Text Processing with Vectorization
  • Sentiment analysis with TextBlob
  • Twitter sentiment analysis.

Module 5: Naïve Bayes Classifier

  • Naïve Bayes for text classification
  • New Articles Tagging

Module 6: Artificial Neural Network (ANN)

  • Basic ANN network for regression and classification

Module 8: Tensorflow overview and Deep Learning Intro

  • Tensorflow work flow demo and intro to deep learning

Module 1: What is Time Series?

Module 2: Trend, Seasonality, cyclical and random

Module 3: White Noise

Module 4: Auto Regressive Model (AR)

Module 5: Moving Average Model (MA)

Module 6: ARMA Model

Module 7: Stationarity of Time Series

Module 8: ARIMA Model – Prediction Concepts

Module 9: ARIMA Model Hands on with Python

Module 10: Case Study Assignment on ARIMA

Module 1: REST API

  • API Concepts
  • Web Servers.
  • URL parameters

Module 2: FLASK Web framework

  • Installing Flask
  • Configuration

Module 3: API in Flask

  • API Coding in Flask

Module 4: End to End Deployment

  • Exporting trained model
  • Creating End to End API

Module 1: Image Processing fundamentals

  • Image Basics
  • Converting Image to Numpy Array

Module 2: Introduction to CNN

  • Convolution – Feature Maps
  • Max Pooling
  • ANN

Module 3: Image Classification (Cats and Dogs)

  • Keras with Tensorflow
  • Hands on Image Classification CNN

Module 1: Understanding Business Case

  • Components of Business Case
  • ROI Calculation Techniques
  • Scoping

Module 2: Writing Data Science Business Case

  • Defining Business Opportunity
  • Translating to Data Science problem
  • Creating project plan

Module 3: Benefits Analysis

  • Demonstrating Break Even and Benefits Analysis with Data Science Solutions

Module 4: Starting project, Setting up Team and closing

  • Initiating Project
  • Setting up the Team
  • Delivering and Closing Project

Module 1: Tableau Introduction

  • Tableau Interface
  • Dimensions and Measures
  • Filter Shelf
  • Distributing and Publishing

Module 2: Connecting to Data Source

  • Connecting to Sources
  • Excel
  • Data Bases
  • Api
  • PDF
  • Extracting and interpreting data

Module 3: Visual Analytics

  • Charts and Plots with Super Store Data

Module 4: Forecasting

  • Forecasting Time Series Data
  • Sales
  • Two areas of Statistics in Data Science
  • Applied statistics in business
  • Descriptive Statistics
  • Inferential Statistics
  • Statistics Terms and definitions
  • Type of Data
  • Quantitative vs Qualitative Data
  • Data Measurement Scales
  • Sampling Data, with and without replacement
  • Sampling Methods, Random vs Non-Random
  • Measurement on Samples
  • Random Sampling methods
  • Simple random, Stratified, Cluster, Systematic sampling.
  • Biased vs unbiased sampling
  • Sampling Error
  • Data Collection methods
  • Measures of Central Tendencies
  • Mean, Median and Mode
  • Data Variability : Range, Quartiles, Standard Deviation
  • Calculating Standard Deviation
  • Z-Score/Standard Score
  • Empirical Rule
  • Calculating Percentiles
  • Outliers
  • Distribtuions Introduction
  • Normal Distribution
  • Central Limit Theorem
  • Histogram - Normalization
  • Other Distributions: Poisson, Binomial et.,
  • Normality Testing
  • Skewness
  • Kurtosis
  • Measure of Distance
  • Euclidean , Manhattan and Minkowski Distance
  • Hypothesis Testing
  • Null Hypothesis, P-Value
  • Need for Hypothesis Testing in Business
  • Two tailed, Left tailed & Right tailed test
  • Hypothesis Testing Outcomes : Type I & II erros
  • Parametric vs Non-Parametric Testing
  • Parametric Tests ,  T - Tests : One sample, two sample, Paired
  • One Way ANOVA
  • Importance of Parametric Tests
  • Non Parametric Tests : Chi-Square, Mann-Whitney, Kruskal-Wallis etc.,
  • Which Test to Choose?
  • Ascerting accuracy of Data
  • Introduction to Regression
  • Type of Regression
  • Hands on of Regression with R and Python.
  • Correlation
  • Weak and Strong Correlation
  • Finding Correlation with R and Python
  • Data preprocessing
  • Types of ML algorithms : Supervised and Unsupervised.
  • Overview of Classification , Regression and Clustering algorithms
  • Supervised Machine Learning algorithms
  • K-Nearest Neighbors (KNN) concept and application
  • Naive Bayes concept and application
  • Logistic Regression concept and application
  • Classification Trees concept and application
  • Unsupervised Machine Learning algorithms
  • Clustering with K-means concept and application
  • Hierarchial Clustering concept and application
  • Advanced Data Mugging
  • Outlier Analysis
  • Treating for missing values
  • Normalization vs Standardization of data
  • Creating an application for Hiring Employee for MNC
  • Setting up the project with ML workflow.
  • Data Preprocessing and statistical exploration
  • Building, Training and evaluation of Machine Learning Model
  • Packaging and deploying
  • What is Machine Learning
  • Applications of Machine Learning
  • Machine Learning vs Artificial Intelligence
  • Machine Learning Languages and platforms
  • Machine Learning vs Statistical Modelling
  • Popular Machine Learning Algorithms
  • Clustering, Classification and Regression
  • Supervised vs Unsupervised Learning
  • Application of Supervised Learning Algorithms
  • Application of Unsupervised Learning Algorithms
  • Overview of modeling Machine Learning Algorithm : Train , Evaluation and Testing.
  • How to choose Machine Learning Algorithm?
  • Simple Linear Regression : Theory, Implementing in Python (and R), Working on use case.
  • Multiple Linear Regression : Theory, Implementing in Python (and R),
  • Working on use case.

  • K-Nearest Neighbors : Theory, Implementing in Python (and R), KNN advantages, Working on use case.
  • Decision Trees : Theory, Implementing in Python (and R), Decision |Tree Pros and Cons, Working on use case.
  • Random Forests : Theory, Implementing in Python (and R), Reliability of Random Forests, Working on Use Case.
  • Naive Bayes Classifier: Theory, Implementing in Python (and R), Why Naive Bayes is simple yet powerful, Working on use case.
  • Support Vector Machines: Theory,Support vector machines with Python and R, Improving the performance with Kernals, Working on Use Case.
  • Association Rules: Theory, Implementing in Python (and R),Working on use case.
  • Model Evaluation: Overfitting & Underfitting
  • Understanding Different Evaluation Models
    • K-Means Clustering: Theory, Euclidean Distance method.
    • K-Means hands on with Python (and R)
    • K-Means Advantages & Disadvantages
    • Hierarchical Clustering : Theory
    • Hierarchical Clustering with Python (and R)
    • Hierarchical Advantages & Disadvantages
    • Dimensionality Reduction: Feature Extraction & Selection
    • Principal Component Analysis (PCA) : Theory, Eigen Vectors
    • PCA example with Python (and R) with Use case
    • Advantages of Dimensionality Reduction
    • Application of Dimensinality Reduction with case study.
    • Collaborative Filtering & Its Challenges
  • R LanguageProgramming Basics
  • R languageData Types
  • Structures and conditional statements
  • Introduction to R Studio
  • Data filtering and selecting
  • Data Mugging techniques in R
  • Basic Statistics and Exploratory Analysis
  • Descriptive summary statistics with Numpy
  • Summarize continous and categorical data
  • Outlier analysis
  • Overview of Supervised and Unsupervised Machine Learning
  • Linear Regression
  • Clustering with K-means
  • Naive Bayes Classification
  • Introduction to Neural Networks
  • Advanced Data Mugging
  • Outlier Analysis
  • Treating for missing values
  • Normalization vs Standardization of data
  • Supervised Machine Learning algorithms
  • K-Nearest Neighbors (KNN) concept and application
  • Naive Bayes concept and application
  • Logistic Regression concept and application
  • Classification Trees concept and application
  • Unsupervised Machine Learning algorithms
  • Clustering with K-means concept and application
  • Hierarchial Clustering concept and application
  • Setting up the project with ML workflow.
  • Data Preprocessing and statistical exploration
  • Building , Training and evaluation of Machine Learning Model
  • Analysis the case study: Property Estimations
  • Setting up the project with ML workflow.
  • Data Preprocessing and statistical exploration
  • Choosing the Machine Learning Algorithm for this case
  • Building, Training and evaluation of Machine Learning Model
  • Introduction to Jupyter Notebook
  • Python 3.0 Installation
  • Programming Basics
  • Python Data Types
  • Structures and conditional statements
  • Loops
  • User Inputs
  • File Handling
  • Handling Date and Time
  • Standard Python functions
  • String Manuplation functions
  • Python core packages
  • Syntax Errors
  • Runtime Errors
  • Errors in Python
  • Fixing Difficult Errors
  • The Structure of a Good Programming Question
  • Exception Handling in Python
  • Object Oriented Programming Essentials
  • Class and Class Variable
  • Data member
  • Function overloading
  • Inheritance
  • Instance
  • Method
  • Object
  • Operator overloading
  • A simple application with OOP Python concepts
  • Overview of Supervised and Unsupervised Machine Learning
  • Linear Regression
  • Clustering with K-means
  • Naive Bayes Classification
  • Introduction to Neural Networks
  • NumPy
  • Pandas
  • SciPy
  • Seaborn
  • Plotly
  • SciKit-Learn
  • Keras
  • NLTK
  • Scrapy
  • Statsmodels
  • Python complete application development workflow
  • Coding with Git Repo
  • Testing and deploying
  • Documentation best practices
  • Programming Basics
  • Python Data Types
  • Structures and conditional statements
  • Python core packages
  • Introduction to Jupyter Notebook
  • Data Science Introduction
  • Data Science work flow
  • Machine Learning Overview
  • Basic Statistics and Exploratory Analysis
  • Descriptive summary statistics with Numpy
  • Summarize continous and categorical data
  • Outlier analysis
  • Overview NumPy
  • NumPy Arrays
  • Selecting and Slicing
  • Boolean Indexing
  • Array advanced operations
  • NumPy Key Methods
  • Overview Pandas
  • Loading data from external sources
  • Access Data from DataFrame
  • Pandas Key Methods
  • Introduction to Numpy and Pandas
  • Data filtering and selecting
  • Find duplicates and treating missing values
  • Concatenate and transform data
  • What is a neural network?
  • Supervised Learning with Neural Networks - Python
  • How Deep Learning is different from Machine Learning
  • What is Machine Learning?
  • Supervised Machine Learning algorithms
  • K-Nearest Neighbors (KNN) concept and application
  • Naive Bayes concept and application
  • Logistic Regression concept and application
  • Classification Trees concept and application
  • Unsupervised Machine Learning algorithms
  • Clustering with K-means concept and application
  • Hierarchial Clustering concept and application
  • Restricted Boltzmann Machines
  • Deep Belief Nets
  • Convolutional Networks
  • Recurrent Nets
  • Autoencoders
  • Deep L-layer neural network
  • Forward Propagation in a Deep Network
  • Building blocks of deep neural networks
  • Parameters vs Hyperparameters
  • Deep Learning Use Cases
  • Deep Neural Network - Application
  • Programming Basics
  • Python Data Types
  • Structures and conditional statements
  • Python core packages
  • Introduction to Jupyter Notebook
  • Introduction to Numpy and Pandas
  • Data filtering and selecting
  • Find duplicates and treating missing values
  • Concatenate and transform data
  • Basic Statistics and Exploratory Analysis
  • Descriptive summary statistics with Numpy
  • Summarize continous and categorical data
  • Outlier analysis
  • Overview of Supervised and Unsupervised Machine Learning
  • Linear Regression
  • Clustering with K-means
  • Naive Bayes Classification
  • Introduction to Neural Networks
  • Advanced Data Mugging
  • Outlier Analysis
  • Treating for missing values
  • Normalization vs Standardization of data
  • Supervised Machine Learning algorithms
  • K-Nearest Neighbors (KNN) concept and application
  • Naive Bayes concept and application
  • Logistic Regression concept and application
  • Classification Trees concept and application
  • Unsupervised Machine Learning algorithms
  • Clustering with K-means concept and application
  • Hierarchial Clustering concept and application
  • Setting up the project with ML workflow.
  • Data Preprocessing and statistical exploration
  • Building , Training and evaluation of Machine Learning Model
  • Analysis the case study: Property Estimations
  • Setting up the project with ML workflow.
  • Data Preprocessing and statistical exploration
  • Choosing the Machine Learning Algorithm for this case
  • Building, Training and evaluation of Machine Learning Model
  • Programming Basics
  • Python Data Types
  • Structures and conditional statements
  • Python core packages
  • Introduction to Jupyter Notebook
  • Data Science Introduction
  • Data Science work flow
  • Machine Learning Overview
  • Introduction to Numpy and Pandas
  • Data filtering and selecting
  • Find duplicates and treating missing values
  • Concatenate and transform data
  • Basic Statistics and Exploratory Analysis
  • Descriptive summary statistics with Numpy
  • Summarize continous and categorical data
  • Outlier analysis
  • Creating basic charts
  • Statistical Charts
  • Web Scrapping tools
  • Overview of Supervised and Unsupervised Machine Learning
  • Linear Regression
  • Clustering with K-means
  • Naive Bayes Classification
  • Introduction to Neural Networks
  • Installing R and R Studio
  • Creating Objects in R
  • Creating Arrays
  • Creating Data frames
  • Use of Structure
  • Dimensions
  • Loading CSV files
  • Foreign packages into R
  • Data Manipulation with R
  • Sorting Data
  • Swapping Data
  • Cleaning Data with R
  • Combining to vectors in R
  • Loading vectors in R
  • Converting unstructured to structured data
  • usage of :
    • sub
    • Gsub
    • Regexpr
    • Gregexpr
    • Apply
    • lapply
  • Usage of
    • Plot, lines, boxplot, stars,
    • barplot, pie, hist, rug, sunflowerplot,
  • Various parameters of histograms
  • tabplot, ggplot2, maptools
  • extracting data from URLs
  • The Tableau Interface
  • Tableau Workbook, Sheets and Dashboards
  • Filter shelf, Rows and Columns
  • Dimensions and Measures
  • Distributing and Publishing
  • Connecting to data file , database servers
  • Managing Fields
  • Managing Extracts
  • Saving and Publishing Data Sources
  • Data Prep with Text and Excel Files
  • Join Types with Union
  • Cross-database Joins
  • Data Blending
  • Connecting to PDFs
  • Getting Started with Visual Analytics
  • Drill Down and Hierarchies
  • Sorting & Grouping
  • Creating and working Sets
  • Using the Filter Shelf
  • Interactive Filters
  • Parameters
  • The Formatting Pane
  • Trend Lines & Reference Lines
  • Forecasting
  • Clustering
  • Dashboards and Stories Introduction
  • Building a Dashboard
  • Dashboard Objects
  • Dashboard Formatting
  • Dashboard Interactivity Using Actions
  • Story Points
  • Animation with Pages
  • Getting Started with Mapping
  • Maps in Tableau
  • Editing Unrecognized Locations
  • Spatial Files
  • Expanding Tableau's Mapping Capabilities
  • Custom Geocoding
  • Calculation Syntax
  • Introduction to LOD Expressions
  • Modifying Table Calculations
  • Aggregate Calculations
  • Logic Calculations
  • String Calculations
  • Number Calculations
  • Type Calculations
  • Conceptual Topics with LOD Expressions
  • Date Calculations
  • Bump Charts
  • Control Charts
  • Funnel Charts
  • Pareto Charts
  • Waterfall Charts
  • Connnecting to Google Analytics
  • Calculating Bounce rate
  • Regional visitors traffic analysis
  • Analysis and forecasting business
  • Deriving business insights
  • Tableau installation and setup
  • Tableau Navigation
  • Connecting to Sources : essentials
  • Worksheet, Workbook, Dashboard management
  • Introduction to various charts
  • Bar Charts, Line Graphs, Pie Charts
  • Maps, Scatter Plots, Gantt Charts, Bubble Charts
  • Histograms, Bullet Charts, Heat Maps and Highlight Tables
  • Treemaps and Box-and-Whisker Plots
  • Connection to vsrious data sources
  • Mysql Database connectivity and tables
  • Google Analytics live visualization
  • ODBC and other sources connectivity
  • Tableau Key features in visualing charts
  • Sorting & Filtering data to customize visualization
  • Multiple fields : continuous and discreate visualization
  • Complex Visualizations
  • Tableau installation and setup
  • Tableau Navigation
  • Connecting to Sources : essentials
  • Worksheet, Workbook, Dashboard management
  • Introduction to various charts
  • Bar Charts, Line Graphs, Pie Charts
  • Maps, Scatter Plots, Gantt Charts, Bubble Charts
  • Histograms, Bullet Charts, Heat Maps and Highlight Tables
  • Treemaps and Box-and-Whisker Plots
  • Connection to vsrious data sources
  • Mysql Database connectivity and tables
  • Google Analytics live visualization
  • ODBC and other sources connectivity
  • Tableau Key features in visualing charts
  • Sorting & Filtering data to customize visualization
  • Multiple fields : continuous and discreate visualization
  • Complex Visualizations
  • Data analysis with Tableau
  • Calculated fields scripting with Tableau
  • Prediction with extrapolation
  • Introduction to Dates
  • Discrete vs. Continuous Dates
  • Date Hierarchies
  • Converting Discrete and Continuous Dates
  • Time series visualizations
  • Mega Store Data Visualization Project
  • What is a neural network?
  • Supervised Learning with Neural Networks - Python
  • How Deep Learning is different from Machine Learning
  • What is Machine Learning?
  • Supervised Machine Learning algorithms
  • K-Nearest Neighbors (KNN) concept and application
  • Naive Bayes concept and application
  • Logistic Regression concept and application
  • Classification Trees concept and application
  • Unsupervised Machine Learning algorithms
  • Clustering with K-means concept and application
  • Hierarchial Clustering concept and application
  • Representing tensors
  • Creating operators and excuting with sessions
  • Introduction Jupyter notebook for TensorFlow coding
  • TensorFlow variables
  • Visualizing data using TensorBoard
  • Regression problems
  • Linear regression applications
  • Regularization
  • Available datasets
  • Coding Linear Regression with TensorFlow - Case study
  • Basic Neural Nets
  • Single Hidden Layer Model
  • Multiple Hidden Layer Model
  • Introduction to Convolutional Neural Networks
  • Input Pipeline
  • Introduction to RNN, LSTM, GRU
  • Concept of Reinforcement Learning
  • Simple model applying Reinforcement Learning in TensorFlow
  • Example Application - Case study
  • Hands on building the Deep Learning application with TensorFlow
  • Installing TensorFlow using Docker
  • Installing Matplotlib
  • Hello World applicatin with TensorFlow
  • Basic Statistics and Exploratory Analysis
  • Descriptive summary statistics with Numpy
  • Summarize continous and categorical data
  • Outlier analysis
  • Machine learning essentials
  • Data representation and features
  • Distance metrics
  • Supervised learning
  • Unsupervised learning
  • Reinforcement learning
  • Theano, Caffe, Torch, CGT, and TensorFlow
  • Representing tensors
  • Creating operators and excuting with sessions
  • Introduction Jupyter notebook for TensorFlow coding
  • TensorFlow variables
  • Visualizing data using TensorBoard
  • Regression problems
  • Linear regression applications
  • Regularization
  • Available datasets
  • Coding Linear Regression with TensorFlow - Case study
  • Classification problems
  • Using linear regression for classification
  • Using logistic regression (including multi-dimensional input)
  • Multiclass classifiers (such as softmax regression)
  • Hands on Classificatin with TensorFlow
  • Traversing files in TensorFlow
  • K-means clustering
  • Clustering using a self-organizing map
  • Introduction to Neural Networks
  • Batch training
  • Variational, denoising and stacked autoencoders
  • Concept of Reinforcement Learning
  • Simple model applying Reinforcement Learning in TensorFlow
  • Advantages and disadvantages of neural networks
  • Convolutional neural networks
  • The idea of contextual information
  • Recurrent neural networks
  • Real world predictive model - example
  • Case study - Stock Market Analsis
  • Hands on Coding in TensorFlow

The following topics are covered here

Module 1 - Introduction to Data Science with Python

  • Installing Python
  • Programming basics
  • Native Data types

Module 2 - Python Basics: Basic Syntax, Data Structures

  • Data objects
  • Math
  • Comparison Operators
  • Condition Statements
  • Loops
  • Lists
  • Tuples
  • Sets
  • Dicts
  • Functions

Module 3 - Numpy Package

  • Numpy overview
  • Array
  • Selecting Data
  • Slicing
  • Iterating
  • Manuplications
  • Stacking
  • Splitting Arrays
  • Functions

Module 4 - Pandas Package

  • Pandas overview
  • Series and DataFrame
  • Manuplication

Module 5 - Python Advanced: Data Mugging with Pandas

  • Histogramming
  • Grouping
  • Aggregation
  • Treating Missing Values
  • Removing Duplicates
  • Transforming data

Module 6 - Python Advanced: Visualization with MatPlotLib

  • Importing MatPlotLib & Seaborn Libraries
  • Creating basic chart : Line Chart, Bar Charts and Pie Charts
  • Ploting from Pandas object
  • Saving a plot
  • Object Oriented Plotting : Setting axes limits and ticks
  • Multiple Plots
  • Plot Formatting : Custom Lines, Markers, Labels, Annotations, Colors
  • Satistical Plots with Seaborn

Module 7 - Exploratory Data Analysis:

  • Data Cleaning
  • Data Wrangling

Module 8 - Exploratory Data Analysis: Case Study

The following topics are covered here

Module 1: SQL and RDBMS introduction

  • Basics of SQL
  • Essential commands to create and manage DB

Module 2: SELECT Query in SQL

  • Retrieve data from SQL data base through complex select queries

Module 3: Connecting Tables in Data Base Query

  • Left Join
  • Right Join and Inner Join

Module 4: Python SQL query to retrieve from any SQL database

Module 5: Hands-On Project

  • Project to retrieve data from live SQL server with queries as per the data requirement, in line with Data Science projects.

The following topics are covered here

Module 1: Introduction to Big Data

  • What is Big Data?
  • Why we need it?

Module 2: Big Data Concepts

  • Core concepts of Big Data

Module 3: Hadoop Installation and configuration

  • Hadoop Installation on various platforms.

Module 4: Hadoop – Simple use case deployment

  • Simple use-case with Hadoop

The following topics are covered here

Module 1: Data Science Introduction

  • What is Data Science?
  • Evolution of Data Science

Module 2: Data Mining vs Business Analytics vs Data Science

  • Difference between popular terminologies

Module 3: Classification of Business Analytics

  • Descriptive
  • Predictive
  • Discovery and Prescriptive Analytics

Module 4: Artificial Intelligence vs Machine Learning

  • Basic differences in AI and ML usage

Module 5: Types of Machine Learning

  • Various Machine Learning methods

Module 6: Data Science Project Work Flow

  • 6-step Process of Data Science projects

Module 7: Industry application of Data Science solutions

  • Popular Industry applications of Data Science

Module 1: Introduction to Statistics

  • Descriptive and Inferential Statistics.
  • Definitions , terms, types of data

Module 2: Harnessing Data

  • Types of Sampling Data.
  • Simple random sampling, Stratified, Cluster sampling. Sampling error.

Module 3: Exploratory Analysis

  • Mean, Median and Mode, Data variability, Standard deviation, Z-score, Outliers

Module 4: Distributions

  • Normal Distribution, Central Limit Theorem, Histogram, Normalization, Normality tests, skewness, Kurtosis.

Module 5: Hypothesis & computational Techniques

  • Hypothesis Testing, Null Hypothesis, P-value, Type I & II errors, parametric testing: t- tests, anova test, non-parametric testing

Module 6: Correlation & Regression

Module 1: Introduction to Pandas

  • Pandas import
  • Basic structure

Module 2: Series and DataFrame data structures

  • Core data structure in Pandas Series and DataFrame

Module 3: Essential functions in Pandas for data mugging

  • Basic Pandas functions

Module 4: Various Data Treatment Techniques

  • Missing values
  • Duplicates
  • outliers etc.,

`

Module 5: Exploratory Data Analysis with Pandas

  • EDA for open dataset with Pandas

Module 6: Plotting with Pandas

  • Pandas plot function in detail

Module 7: Transformation data to get it ready for Machine Learning

  • Data treatment with Pandas introduction

Module 1: Machine Learning Introduction

  • What is ML?
  • ML vs AI
  • ML workflow
  • Statistical modeling of ML
  • Application of ML

Module 2: Machine Learning Algorithms

  • Popular ML algorithms
  • Clustering
  • Classification and Regression
  • Supervised vs Unsupervised
  • Choice of ML

Module 3: Supervised Learning

  • Simple and Multiple Linear regression
  • KNN, and more

Module 4: Linear Regression and Logistic Regression

  • Theory of Linear regression
  • Hands on with use cases

`

Module 5: K-Nearest Neighbour (KNN)

  • Theory of KNN
  • Hands on with use cases

Module 6: Decision Tree

  • Theory of Decision Tree
  • Hands on with use cases

Module 7: Naïve Bayes Classifier

  • Bayes Theorem
  • Hands on Naïve Bayes implementation

Module 8: Unsupervised Learning

  • K-means Clustering

Module 1: Advanced Machine Learning Concepts

  • uning with Hyper parameters.
  • Popular ML algorithms, clustering, classification and regression, supervised vs unsupervised.
  • Choice of ML

Module 2: Random Forest – Ensemble

  • Ensemble theory, random forest tuning

Module 3: Support Vector Machine (SVM)

  • Simple and Multiple Linear regression
  • KNN

Module 4: Natural Language Processing (NLP)

  • Text Processing with Vectorization
  • Sentiment analysis with TextBlob
  • Twitter sentiment analysis.

Module 5: Naïve Bayes Classifier

  • Naïve Bayes for text classification
  • New articles tagging

Module 6: Artificial Neural Network (ANN)

  • Basic ANN network for regression and classification

Module 7: Tensorflow overview and Deep Learning Intro

  • Tensorflow work flow demo and intro to deep learning.

Module 1: Introduction to Sentiment Analysis

  • Sentiment Polarity

Module 2: Introduction to NLTK and TextBlob packages

  • Hands on Sentiment Analysis with NLTK and TextBlob

Module 3: Application of Sentiment Analysis on Twitter live

  • Connecting to Twitter API and Live hands on sentiment analysis use case

Module 1: Introduction to Deep Learning

  • What is deep Learning. Deep Learning models

Module 2: Deep Learning with Python frameworks

  • Keras
  • TensorFlow

Module 3: Applications of Deep Learning

  • Various applications of Deep Learning.

Module 1: Artificial Intelligence Introduction

  • Core concepts of Artificial Intelligence

Module 2: Domains of Artificial Intelligence

  • Computer Vision, NLP, ML & DL, Robotics

Module 3: Applications of Artificial Intelligence

  • Various industry applications of AI

Module 4: Limitations of Artificial Intelligence

  • Major limitations of AI Adoptions

Module 1: AI model deployment strategies

  • Various model deployment strategies

Module 2: Simple API deployment

  • API deployment with FLASK framework

Module 3: Creating website based on API deployed

  • Creating HTML front-end for API

Module 1: Introduction to CNN

  • Convolution – feature maps, max pooling, ANN

Module 2: Image Processing fundamentals

  • Image Basics, Converting image to Numpy Array

Module 3: Convolution Filter Explanation

  • Various kinds of filters – edge filter

Module 1: Introduction to Image classification coding

  • Keras with TensorFlow, hands on image classification CNN

Module 2: Keras code for classifying Cats and Dogs

  • Python Keras coding for image classification

Module 3: Creating predicting model with TensorFlow as backend.

  • Complete CNN Code

Module 1: REST API

  • API concepts
  • Web servers
  • URL parameters

Module 2: FLASK Web framework

  • FLASK Web framework Installing flask
  • configuration

Module 3: API in Flask

  • API coding in Flask

Module 3: End to End Deployment

  • Exporting trained model, creating end to end API.

 -  Introduction to TensorFlow

 -  Computational Graph

 -  Stochastic Gradient Descent

 -  Visual TensorBoard

 -   Keras with TensorFlow

 -  Role of Activation functions in ANN network

 -  Activation Functions: 

 -  Sigmoid (Binary)

 -  Softmax (Multiclass)

 -  ReLU (Linear)

 -  Introduction to ANN

 -  Concept of Perceptron

 -  Perceptron Training Rule

 -  Gradient Descent Rule

 -  Gradient Descent

 -  Stochastic Gradient Descent

 -  Backpropagation

 -  Some problems in ANN

 -  Overfitting and Capacity

 -  Cross Validation

 -  Feature Selection

 -  Regularization

 -  Hyperparameters

 -  Introduction to CNNs

 -  Principles behind CNNs

 -  Kernel and Multiple Filters

 -  CNN Image Classification demo

 

 -  Introduction to RNNs

 -  Unfolded RNNs

 -  Seq2Seq RNNs

 -  LSTM

 -  RNN applications

 -  Image Processing

 -  Natural Language Processing

 -  Speech Recognition

 -  Video Analytics

 -  Image Classification with CNN - Keras 

 -  Natural Language Processing  with NKTL live project

  • Installing Python Anaconda distribution
  • Python native Data Types
  • Math & Comparision Operators
  • Conditional Statement
  • Loops
  • Lists, Tuples, Strings, Dictionaries, Sets
  • Functions
  • Exception Handling
  • Importing Numpy
  • Numpy overview
  • Numpy Array creation and basic operations
  • Numpy Universal functions
  • Selecting and retrieving Data
  • Data Slicing
  • Iterating Numpy Data
  • Shape Manupilation
  • Stacking and Splitting Arrays
  • Copies and Views : no copy, shallow copy , deep copy

 

  • Importing Pandas
  • Pandas overview
  • Object Creation : Series Object , DataFrame Object
  • View Data
  • Selecting data by Label and Position
  • Data Slicing
  • Boolean Indexing
  • Setting Data
  • Applying functions to data
  • Histogramming
  • String Methods
  • Merge Data : Concat, Join and Append
  • Grouping & Aggregation
  • Reshaping
  • Analysing Data for missing values
  • Filling missing values: fill with constant, forward filling, mean
  • Removing Duplicates
  • Transforming Data
  • Droping Data
  • Sorting Data
  • Pivot Tables
  • Time Series
  • Categoricals
  • Ploting Data
  • Import and Export Data
  • Descriptive Statistics : Sum, Mean, Median, Variance, Standard Deviation
  • Summarizing Categorical Data
  • Plotting with Pandas
  • Correlation : Continuous and Categorical ( Pearson Corr Coff)
  • Chi-Square test for independence
  • Normalizing & Standarding
    • Importing MatPlotLib & Seaborn Libraries
    • Creating basic chart : Line Chart, Bar Charts and Pie Charts
    • Ploting from Pandas object
    • Saving a plot
    • Object Oriented Plotting : Setting axes limits and ticks
    • Multiple Plots
    • Plot Formatting : Custom Lines, Markers, Labels, Annotations, Colors
    • Satistical Plots with Seaborn
  • Installing R and R Studio
  • Creating Objects in R
  • Creating Arrays
  • Creating Data frames
  • Use of Structure
  • Dimensions
  • Loading CSV files
  • Foreign packages into R
    • Data Manipulation with R
    • Loading vectors in R
    • Combining to vectors in R
    • Cleaning Data with R
    • Swapping Data
    • Sorting Data,
  • Converting unstructured to structured data
  • usage of :
    • sub
    • Gsub
    • Regexpr
    • Gregexpr
    • Apply
    • lapply
  • Usage of
    • Plot, lines, boxplot, stars,
    • barplot, pie, hist, rug, sunflowerplot,
  • Various parameters of histograms
  • tabplot, ggplot2, maptools
  • extracting data from URLs
  • Case study on Data Science project with R language

FAQ'S

Total course fee should be paid before 50% of the course completion. We also have EMI option tied up with bank. Check with coordinators.

No, Most of software are free and open source. The guidelines to setup software is a part of course.

Certified Data Scientist is delivered in both Classroom and Online mode. Classroom is provided in selected cities in India such as Bangalore, Hyderabad.

Yes. The IABAC Exam fee is included in the course fee. No extra fee is charged.

All the online sessions are recorded and shared so you can revise the missed session. For Classroom, speak to the coordinator to join the session in another batch.

We have a dedicated PAT (Placement Assistance team) to provide 100% support in finding your dream job.

DataMites™ provide flexible learning options from traditional classroom training, lastest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options

This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on continual basis.

All certificates can be validated with your unique certification number at IABAC.org portal. You also get candidate login at exam.iabac.org , where can find your test results and other relevant validation details.

The results of the Exam are immediate, if you take online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 bussiness days for e-certificate.

No, the exam fees are already included in the course fee and you will not be charged extra.

Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constrains, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on individual basis in assisting for right Data Science job.

You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis

DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.

DataMites™ provide flexible learning options from traditional classroom training, lastest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options

This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on continual basis.

All certificates can be validated with your unique certification number at IABAC.org portal. You also get candidate login at exam.iabac.org , where can find your test results and other relevant validation details.

The results of the Exam are immediate, if you take online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 bussiness days for e-certificate.

No, the exam fees are already included in the course fee and you will not be charged extra.

Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constrains, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on individual basis in assisting for right Data Science job.

You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis

DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.

Total course fee should be paid before 50% of the course completion. We also have EMI option tied up with bank. Check with coordinators.

No, Most of software are free and open source. The guidelines to setup software is a part of course.

Certified Data Scientist is delivered in both Classroom and Online mode. Classroom is provided in selected cities in India such as Bangalore, Hyderabad.

Yes. The IABAC Exam fee is included in the course fee. No extra fee is charged.

All the online sessions are recorded and shared so you can revise the missed session. For Classroom, speak to the coordinator to join the session in another batch.

We have a dedicated PAT (Placement Assistance team) to provide 100% support in finding your dream job.

This an online program and you can learn conveniently from your home.

This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and also have been monitored by industry practitioners.

No, the exam fees are already included in the course fee and you will not be charged extra.

We guarantee that you can achieve an in-depth knowledge and an enhanced skills but we do not provide job assistance.

DataMites™ provide flexible learning options from traditional classroom training, lastest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options

This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on continual basis.

All certificates can be validated with your unique certification number at IABAC.org portal. You also get candidate login at exam.iabac.org , where can find your test results and other relevant validation details.

The results of the Exam are immediate, if you take online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 bussiness days for e-certificate.

No, the exam fees are already included in the course fee and you will not be charged extra.

Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constrains, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on individual basis in assisting for right Data Science job.

You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis

DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.

DataMites™ provide flexible learning options from traditional classroom training, lastest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options

This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on continual basis.

All certificates can be validated with your unique certification number at IABAC.org portal. You also get candidate login at exam.iabac.org , where can find your test results and other relevant validation details.

The results of the Exam are immediate, if you take online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 bussiness days for e-certificate.

No, the exam fees are already included in the course fee and you will not be charged extra.

Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constrains, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on individual basis in assisting for right Data Science job.

You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis

DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.

DataMites™ provide flexible learning options from traditional classroom training, lastest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options

This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on continual basis.

All certificates can be validated with your unique certification number at IABAC.org portal. You also get candidate login at exam.iabac.org , where can find your test results and other relevant validation details.

The results of the Exam are immediate, if you take online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 bussiness days for e-certificate.

No, the exam fees are already included in the course fee and you will not be charged extra.

Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constrains, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on individual basis in assisting for right Data Science job.

You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis

DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.

DataMites™ provide flexible learning options from traditional classroom training, lastest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options

This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on continual basis.

All certificates can be validated with your unique certification number at IABAC.org portal. You also get candidate login at exam.iabac.org , where can find your test results and other relevant validation details.

The results of the Exam are immediate, if you take online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 bussiness days for e-certificate.

No, the exam fees are already included in the course fee and you will not be charged extra.

Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constrains, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on individual basis in assisting for right Data Science job.

You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis

DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.

DataMites™ provide flexible learning options from traditional classroom training, lastest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options

This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on continual basis.

All certificates can be validated with your unique certification number at IABAC.org portal. You also get candidate login at exam.iabac.org , where can find your test results and other relevant validation details.

The results of the Exam are immediate, if you take online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 bussiness days for e-certificate.

No, the exam fees are already included in the course fee and you will not be charged extra.

Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constrains, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on individual basis in assisting for right Data Science job.

You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis

DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.

DataMites™ provide flexible learning options from traditional classroom training, lastest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options

This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on continual basis.

All certificates can be validated with your unique certification number at IABAC.org portal. You also get candidate login at exam.iabac.org , where can find your test results and other relevant validation details.

The results of the Exam are immediate, if you take online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 bussiness days for e-certificate.

No, the exam fees are already included in the course fee and you will not be charged extra.

Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constrains, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on individual basis in assisting for right Data Science job.

You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis

DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.

DataMites™ provide flexible learning options from traditional classroom training, lastest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options

This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on continual basis.

All certificates can be validated with your unique certification number at IABAC.org portal. You also get candidate login at exam.iabac.org , where can find your test results and other relevant validation details.

The results of the Exam are immediate, if you take online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 bussiness days for e-certificate.

No, the exam fees are already included in the course fee and you will not be charged extra.

Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constrains, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on individual basis in assisting for right Data Science job.

You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis

DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.

DataMites™ provide flexible learning options from traditional classroom training, lastest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options

This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on continual basis.

All certificates can be validated with your unique certification number at IABAC.org portal. You also get candidate login at exam.iabac.org , where can find your test results and other relevant validation details.

The results of the Exam are immediate, if you take online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 bussiness days for e-certificate.

No, the exam fees are already included in the course fee and you will not be charged extra.

Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constrains, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on individual basis in assisting for right Data Science job.

You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis

DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.

DataMites™ provide flexible learning options from traditional classroom training, lastest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options

This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on continual basis.

All certificates can be validated with your unique certification number at IABAC.org portal. You also get candidate login at exam.iabac.org , where can find your test results and other relevant validation details.

The results of the Exam are immediate, if you take online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 bussiness days for e-certificate.

No, the exam fees are already included in the course fee and you will not be charged extra.

Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constrains, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on individual basis in assisting for right Data Science job.

You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis

DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.

DataMites™ provide flexible learning options from traditional classroom training, lastest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options

This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on continual basis.

All certificates can be validated with your unique certification number at IABAC.org portal. You also get candidate login at exam.iabac.org , where can find your test results and other relevant validation details.

The results of the Exam are immediate, if you take online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 bussiness days for e-certificate.

No, the exam fees are already included in the course fee and you will not be charged extra.

Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constrains, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on individual basis in assisting for right Data Science job.

You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis

DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.

Yes, after completing the course you would be a specialist in Text mining and will be awarded with industry recognised certification.

Our certification is a globally recognised one and would add huge value to your resume. So, you can definitely expect more job opportunities after this certification.

Yes, DataMites warmly welcomes all the candidates to take up their demo sessions so that they can upgrade to our course conveniently.

DataMites offers all industry specialised premium certification courses in Business analytics.

We have offered many successful corporate training sessions. To enrol our training for your company, kindly contact our support team at (email address) to get a detailed agenda of our organisation training.

Yes, the receipt is immediately issued through email.

DataMites™ provide flexible learning options from traditional classroom training, lastest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options

This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on continual basis.

All certificates can be validated with your unique certification number at IABAC.org portal. You also get candidate login at exam.iabac.org , where can find your test results and other relevant validation details.

The results of the Exam are immediate, if you take online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 bussiness days for e-certificate.

No, the exam fees are already included in the course fee and you will not be charged extra.

Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constrains, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on individual basis in assisting for right Data Science job.

You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis

DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.

DataMites™ provide flexible learning options from traditional classroom training, lastest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options

This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on continual basis.

All certificates can be validated with your unique certification number at IABAC.org portal. You also get candidate login at exam.iabac.org , where can find your test results and other relevant validation details.

The results of the Exam are immediate, if you take online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 bussiness days for e-certificate.

No, the exam fees are already included in the course fee and you will not be charged extra.

Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constrains, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on individual basis in assisting for right Data Science job.

You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis

DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.

DataMites™ provide flexible learning options from traditional classroom training, lastest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options

This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on continual basis.

All certificates can be validated with your unique certification number at IABAC.org portal. You also get candidate login at exam.iabac.org , where can find your test results and other relevant validation details.

The results of the Exam are immediate, if you take online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 bussiness days for e-certificate.

No, the exam fees are already included in the course fee and you will not be charged extra.

No, the exam fees are already included in the course fee and you will not be charged extra.

Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constrains, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on individual basis in assisting for right Data Science job.

You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis

You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis

DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.

DataMites™ provide flexible learning options from traditional classroom training, lastest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options

This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on continual basis.

All certificates can be validated with your unique certification number at IABAC.org portal. You also get candidate login at exam.iabac.org , where can find your test results and other relevant validation details.

The results of the Exam are immediate, if you take online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 bussiness days for e-certificate.

No, the exam fees are already included in the course fee and you will not be charged extra.

Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constrains, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on individual basis in assisting for right Data Science job.

You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis

DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.

DataMites™ provide flexible learning options from traditional classroom training, lastest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options

This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on continual basis.

All certificates can be validated with your unique certification number at IABAC.org portal. You also get candidate login at exam.iabac.org , where can find your test results and other relevant validation details.

The results of the Exam are immediate, if you take online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 bussiness days for e-certificate.

No, the exam fees are already included in the course fee and you will not be charged extra.

Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constrains, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on individual basis in assisting for right Data Science job.

You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis

DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.

DataMites™ provide flexible learning options from traditional classroom training, lastest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options

This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on continual basis.

All certificates can be validated with your unique certification number at IABAC.org portal. You also get candidate login at exam.iabac.org , where can find your test results and other relevant validation details.

The results of the Exam are immediate, if you take online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 bussiness days for e-certificate.

No, the exam fees are already included in the course fee and you will not be charged extra.

Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constrains, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on individual basis in assisting for right Data Science job.

You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis

DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.

Total course fee should be paid before 50% of the course completion. We also have EMI option tied up with bank. Check with coordinators.

Certified Data Scientist is delivered in both Classroom and Online mode. Classroom is provided in selected cities in India such as Bangalore, Hyderabad.

No, Most of software are free and open source. The guidelines to setup software is a part of course.

Yes. The IABAC Exam fee is included in the course fee. No extra fee is charged.

All the online sessions are recorded and shared so you can revise the missed session. For Classroom, speak to the coordinator to join the session in another batch.

We have a dedicated PAT (Placement Assistance team) to provide 100% support in finding your dream job.

DataMites™ provide flexible learning options from traditional classroom training, latest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options

This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on continual basis.

All certificates can be validated with your unique certification number at IABAC.org portal. You also get candidate login at exam.iabac.org , where can find your test results and other relevant validation details.

The results of the Exam are immediate, if you take online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 bussiness days for e-certificate.

No, the exam fees are already included in the course fee and you will not be charged extra.

Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constrains, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on individual basis in assisting for right Data Science job.

You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis

DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.

DataMites™ provide flexible learning options from traditional classroom training, latest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options

This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on continual basis.

All certificates can be validated with your unique certification number at datamites.com portal. Also by manually sending an email to care@datamites.com

No, the exam fees are already included in the course fee and you will not be charged extra.

Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constrains, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on individual basis in assisting for right Data Science job.

You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis

DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.

Total course fee should be paid before 50% of the course completion. We also have EMI option tied up with bank. Check with coordinators.

No, Most of software are free and open source. The guidelines to setup software is a part of course.

Certified Data Scientist is delivered in both Classroom and Online mode. Classroom is provided in selected cities in India such as Bangalore, Hyderabad.

Yes. The IABAC Exam fee is included in the course fee. No extra fee is charged.

All the online sessions are recorded and shared so you can revise the missed session. For Classroom, speak to the coordinator to join the session in another batch.

We have a dedicated PAT (Placement Assistance team) to provide 100% support in finding your dream job.

Total course fee should be paid before 50% of the course completion. We also have EMI option tied up with bank. Check with coordinators.

No, Most of software are free and open source. The guidelines to setup software is a part of course.

Certified Data Scientist is delivered in both Classroom and Online mode. Classroom is provided in selected cities in India such as Bangalore, Hyderabad.

All the online sessions are recorded and shared so you can revise the missed session. For Classroom, speak to the coordinator to join the session in another batch.

We have a dedicated PAT (Placement Assistance team) to provide 100% support in finding your dream job.

DataMites™ provide flexible learning options from traditional classroom training, lastest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options

This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on continual basis.

All certificates can be validated with your unique certification number at IABAC.org portal. You also get candidate login at exam.iabac.org , where can find your test results and other relevant validation details.

The results of the Exam are immediate, if you take online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 bussiness days for e-certificate.

No, the exam fees are already included in the course fee and you will not be charged extra.

Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constrains, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on individual basis in assisting for right Data Science job.

You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis

DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.

DataMites™ provide flexible learning options from traditional classroom training, lastest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options

This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on continual basis.

All certificates can be validated with your unique certification number at IABAC.org portal. You also get candidate login at exam.iabac.org , where can find your test results and other relevant validation details.

The results of the Exam are immediate, if you take online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 bussiness days for e-certificate.

No, the exam fees are already included in the course fee and you will not be charged extra.

Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constrains, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on individual basis in assisting for right Data Science job.

You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis

DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.

Total course fee should be paid before 50% of the course completion. We also have EMI option tied up with bank. Check with coordinators.

No, Most of software are free and open source. The guidelines to setup software is a part of course.

Certified Data Scientist is delivered in both Classroom and Online mode. Classroom is provided in selected cities in India such as Bangalore, Hyderabad.

All the online sessions are recorded and shared so you can revise the missed session. For Classroom, speak to the coordinator to join the session in another batch.

We have a dedicated PAT (Placement Assistance team) to provide 100% support in finding your dream job.

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