DATA SCIENCE ASSOCIATE CERTIFICATION AUTHORITIES

DATA SCIENCE ASSOCIATE COURSE FEATURES

DATA SCIENCE LEAD MENTORS

DATA SCIENCE ASSOCIATE COURSE FEE

Live Virtual

Instructor Led Live Online

740
589

  • IABAC® Global Certification
  • 3-Month Course
  • 10 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

Blended Learning

Self Learning + Live Mentoring

440
259

  • Self Learning + Live Mentoring
  • IABAC® Global Certification
  • 1 Year Access To Elearning
  • 10 Capstone & 1 Client Project
  • Job Assistance
  • 24*7 Learner assistance and support

Corporate Training

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  • Instructor-Led & Self-Paced training
  • Customized Learning Options
  • Industry Expert Trainers
  • Case Study Approach
  • Enterprise Grade Learning
  • 24*7 Cloud Lab

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BEST DATA SCIENCE ASSOCIATE CERTIFICATIONS

The entire training includes real-world projects and highly valuable case studies.

IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.

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WHY DATAMITES INSTITUTE FOR DATA SCIENCE ASSOCIATE COURSE

Why DataMites Infographic

SYLLABUS OF DATA SCIENCE ASSOCIATE COURSE

  • What Is Data Science?
  • Evolution Of Data Science
  • Data Science Terminologies
  • Comparing Various Related Domains With Data Science
  • Descriptive Analytics
  • Predictive Analytics
  • Discovery Analytics And Prescriptive Analytics
  • Crips – Dm Framework
  • Data Science Project Workflow
  • Industry Roles And Responsibilities
  • Health Care
  • Finance & Banking
  • Manufacturing
  • Retail
  •  Logistics
  • Human Resource
  • Descriptive And Inferential Statistics
  • Definitions
  • Terms
  • Types Of Data
  • Types Of Sampling Data
  • Simple Random Sampling
  • Stratified
  • Cluster Sampling
  • Sampling Error
  • Mean
  • Median And Mode
  • Data Variability
  • Standard Deviation
  • Z-Score
  • Outliers
  • Normal Distribution
  • Central Limit Theorem
  • Histogram
  • Normalization
  • Normality Tests
  • Skewness
  • Kurtosis
  • R Installation And Setup
  • R Studio – R Development Environment
  • R Language Basics
  • R Data Structures
  • R Control Statements
  • R Data Science Packages Exploration
  • Project In R
  • Descriptive  And Inferential Statistics. Definitions
  • Terms
  • Types Of Data
  • Types Of Sampling Data. Simple Random Sampling
  • Stratified
  • Mean
  • Median And Mode
  • Data Variability
  • Standard Deviation
  • Z-Score
  • Outliers
  • Normal Distribution
  • Central Limit Theorem
  • Histogram
  • Normalization
  • Normality Tests
  • Skewness
  • Kurtosis
  • Direct And Indirect Correlation
  • Correlation With Strong And Weak Colleration
  • Calculating Correlation With Python
  • Regression Theory
  • Simple Linear Regression With Python
  • Introduction
  • Numpy Basics
  • Creating Numpy Arrays
  • Structure And Content Of Arrays
  • Subset
  • Slice
  • Index And Iterate Through Arrays
  • Multidimensional Arrays
  • Python Lists Vs Numpy Arrays
  • Basic Operations
  • Operations On Arrays
  • Basic Linear Algebra Operations
  • Pandas Basics
  • Indexing And Selecting Data
  • Merge And Append
  • Grouping And Summarizing Dataframe
  • Lambda Function & Pivot Tables
  • Pandas Basics
  • Indexing And Selecting Data
  • Merge And Append
  • Grouping And Summarizing Dataframe
  • Lambda Function & Pivot Tables
  • Components Of A Plot
  • Data Visualization Toolkit
  • Functionalities Of Plots
  • Sub-Plots
  • Introduction
  • Plotting Aggregate Values Across Categories
  • Plotting Distributions Across Categories
  • Bivariate Distributions - Plotting Pairwise Relationships
  • Vector Spaces
  • Vectors: The Basics
  • Introduction
  • Univariate Distributions
  • Univariate Distributions - Rug Plots
  • What is Ml? Ml Vs AI
  • Ml Workflow
  • Statistical Modeling Of Ml
  • Application Of Ml
  • Popular Ml Algorithms
  • Clustering
  • Classification And Regression
  • Supervised Vs Unsupervised
  • Choice Of Ml Algorithms
  • Regression Line
  • Best Fit Line
  • Assumptions Of Simple Linear Regression
  • Reading And Understanding The Data
  • Hypothesis Testing In Linear Regression
  • Building A Linear Model
  • Residual Analysis And Predictions
  • Linear Regression Using Sklearn
  • Simple Linear Reg Vs Multiple Linear Reg
  • Multicollinearity
  • Dealing With Categorical Variables
  • Model Assessment And Comparison
  • Feature Selection
  • Introduction: Univariate Logistic Regression
  • Binary Classification
  • Sigmoid Curve
  • Finding The Best Fit Sigmoid Curve Summary
  • Multivariate Logistic Regression
  • Data Cleaning And Preparation
  • Building Your First Model
  • Feature Elimination Using Rfe
  • Confusion Matrix And Accuracy
  • Manual Feature Elimination
  • Basics Of Sql Db
  • Primary Key
  • Foreign Key
  • Retrieving Data With Select Sql Command
  • Where Condition To Pandas Data Frame.
  • Order By Clause
  • Aggregate Functions
  • Group By Clause
  • Having Clause
  • Nested Queries
  • Inner Join, Outer Joins, Multi Join
  • Crisp Dm Framework
  • 6-Phase Project Execution
  • Ml Use Case Development
  • Project Management Methodology
  • Challenges And Pitfalls

OFFERED DATA SCIENCE COURSES

DATA SCIENCE CAREER SUCCESS STORIES

DATA SCIENCE ASSOCIATE COURSE REVIEWS

ABOUT DATA SCIENCE ASSOCIATE TRAINING COURSE

Data Science has been subjected to significant evolution and has laid forward many possibilities. From the concept of systematically classifying and summarising information, data science has grown significantly, to widen its scope to many other disciplines like Statistics, Mathematics and Computer Science, therefore we can say data science is not just about data, but also involves the employability of the three disciplines in it. Therefore, to understand data science as a whole, it is also necessary to also understand what effect statistics and computer science have on it.

The Certified Data Science Associate course caters to the needs of those, who are new entrants in the field of Data Science, Artificial Intelligence and Machine Learning. It covers the concepts of ML, programming languages like Python and R, Predictive Modelling.

Data science has become an integral part of numerous organizations, with data scientists playing a vital role in driving strategy and decision-making. The field of data science is expected to offer over 11.6 million job opportunities by 2026, making it an attractive career option for freshers, software professionals, and individuals interested in analytics. DataMites is a reputable institute that offers cost-effective and high-quality training courses to equip individuals with the necessary knowledge and skills to excel in this rapidly evolving field.

DataMites offers a comprehensive Data Science Associate Course that covers various essential topics in data science. The program follows a three-phase learning approach. In the first phase, candidates are provided with self-study materials, including videos and books, to gain a solid understanding of the curriculum. The second phase consists of intensive live training sessions and hands-on projects. In the final phase, participants engage in real-world projects, internships, and a job-ready program.

Phase 1: Candidates are provided with self-study materials such as videos and books to prepare for the course.

Phase 2: Intensive live training is conducted, accompanied by hands-on capstone projects.

Phase 3: Projects, internships, and a job-ready program are offered to enhance practical skills.

Datamites leading classroom centres are Pune, Bangalore, Mumbai, Hyderabad, Delhi, Chennai, Kolkata and Ahmedabad.

The course offers a comprehensive curriculum consisting of 10 bundles that cover various aspects of data science:

Data Science Foundation: This course introduces the fundamentals of data science, including a comparison of data science with business analytics and big data. It covers topics such as the classification of business analytics, data science project workflow, roles in data science, and the application of data science in various industries.

Python Essentials for Data Science: This course focuses on the essential aspects of Python for data science. It covers Python installation and setup, data harnessing, exploratory analysis, and data distribution.

R Language Essentials: This course provides an introduction to the R programming language and its applications in data science.

Statistics for Data Science: This course covers the basics of statistics and its relevance in data science. Topics include data harnessing, exploratory analysis, probability distributions, and correlation and regression.

Data Preparation with Numpy and Pandas: This course explores the use of Numpy and Pandas libraries for data preparation. It covers operations on Numpy arrays, the Pandas panel data package, and techniques for data cleaning and manipulation using Pandas.

Visualization with Python: This course focuses on the basics of data visualization using Python. It covers techniques for plotting categorical time series data and data distributions.

Machine Learning Associate: This course provides an introduction to machine learning algorithms and their applications. Topics include simple linear regression, multiple linear regression, logistic regression for binary classification, and building models using logistic regression.

SQL for Data Science: This course introduces SQL (Structured Query Language) for data science. It covers SQL package installation, relational database management systems (RDBMS), the SELECT command with WHERE condition, and advanced SQL concepts.

Data Science Project Execution: This course covers the structure and execution of data science projects. It includes considerations of business aspects and their integration into the project workflow.

These courses collectively offer a comprehensive learning experience in data science, covering foundational concepts, programming languages, statistics, data manipulation, visualization, machine learning, SQL, and project execution.

The Data Science Associate Course offered by DataMites aims to equip you with a comprehensive understanding of computer vision, machine learning, deep learning, neural networks, Python, and R. Through expert training, you will acquire the necessary skills to bring you closer to your desired career.

Other DataMites data science courses are Certified Data Scientist, Python for Data Science, Data Science with R, and Data Science and Statistics for Data Science Training. These courses cover a wide range of topics to cater to different interests and career paths within the field of data science.

ABOUT DATAMITES DATA SCIENCE ASSOCIATE COURSE

The Certified Data Science Associate course helps in gaining an understanding of Computer Vision and it’s applications in a real-world scenario. Other knowledge areas include:

  • Machine Learning
  • Neural Networks 
  • Deep Learning
  • Python and R.
  • Problem-solving skills
  • Curious mind
  • Basic knowledge of Statistics and Mathematics.
  • Knowledge of Machine Learning.  
  • Graduate Freshers
  • Data Science and Machine Learning enthusiasts
  • Experienced Data Scientists.
  • Business Analysts
  • Gain knowledge of employing data science in the day to day activities.
  • Better decision making.
  • Cost reduction.
  • Maximise profits.
  • An authorized institute by the International Association of Business Analytics Certifications (IABAC™) providing global data science certification courses
  • Founded by Data Science/Analytics Experts, who have deep roots in providing management consulting to major companies in India, Europe and USA.
  • Delivered 20+ sessions for Senior Executives of tier-1 companies in India including, CTS, TVS Group, Rane Group etc.,
  • In collaboration with CII - Confederation of Indian Industry, conducted workshops for Senior executives in India.
  • DataMites has in-house faculties who are from elite universities, IIM’s and PH.Ds in Data Science.

Data Science involves extracting valuable information from large datasets, including structured and unstructured data, by uncovering hidden patterns and gaining actionable insights.

Learning Data Science offers several advantages:

  • It provides the ability to transform data into valuable insights.
  • It enhances customer experiences by leveraging data-driven strategies.
  • It opens up numerous job opportunities in the field of Data Science.
  • Data Science professionals often enjoy competitive salaries.
  • It offers a wide range of job titles to choose from.
  • Data scientists play a crucial role in decision-making within organizations.

Data Science is accessible to anyone interested in learning, regardless of their background. Engineers, marketing professionals, software and IT professionals, and even newcomers can opt for part-time or external programs in Data Science. Basic high school-level subjects are generally the minimum requirement for regular Data Science courses.

The fee for Data Science courses may vary depending on the level of training desired. However, the average fee for classroom training ranges from 1000 USD to 3000 USD, irrespective of the training provider.

Upon completing a Data Science course, various job opportunities become available, including:

  • Data Scientist
  • Machine-Learning Engineer
  • Machine-Learning Scientist
  • Data Architect
  • Data Engineer
  • Application Architect
  • Statistician
  • Data Analyst
  • Business Intelligence Analyst
  • Marketing Analyst

Key skills for learning Data Science include technical proficiency in data analysis, statistical knowledge, data storytelling, communication skills, and problem-solving abilities.

The duration of Data Science courses varies depending on the subject level and syllabus designed for different branches within Data Science. Generally, the course duration ranges from 2 months to 1 year.

While having strong programming skills, including knowledge of Python, R, Excel, C++, Java, and SQL, is preferred, it is not mandatory. It is possible to learn programming from the basics and improve gradually.

Similar to any other field, learning Data Science can be easy with proper guidance. However, given the vastness of the subject, beginners may initially find it overwhelming. With perseverance and the right resources, the learning experience can become more manageable and rewarding.

Some popular tools used in Data Science include SAS, Apache Hadoop, Tableau, BigML, Knime, RapidMiner, Excel, Apache Flink, and Power BI.

Data Science has a wide scope as it enables companies to understand and derive valuable insights from massive amounts of data from various sources. It finds applications in industries such as marketing, healthcare, finance, banking, policy work, and more, helping organizations make informed data-driven decisions.

Yes, companies do hire freshers for Data Scientist positions. Many entry-level analytics jobs in India do not require specialization or post-graduation. An engineering degree and skills in aptitude, communication, and critical reasoning are often the main qualifications sought by these companies.

According to Glassdoor.com, the national average salary for Data Scientists in the United States is USD $104,043 per year. In the UK, the average salary is £49,710 EUR per annum (Payscale). In India, the average salary is INR ₹12,00,000 per year (Glassdoor).

Yes, it is definitely possible to switch from a mechanical background to a career in Data Science. While the two fields may not directly align, a background in mechanical engineering can provide a strong foundation in mathematics, problem-solving skills, and analytical thinking, which are valuable assets in the field of Data Science.

Absolutely. It is indeed possible for individuals with a non-coding background to transition into a Data Science career. While prior coding experience can be beneficial, it is not a strict requirement for entering the field. Many successful Data Science professionals come from non-coding backgrounds and have successfully transitioned into roles within the field.

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FAQ’S OF DATA SCIENCE ASSOCIATE TRAINING COURSE

The trainers for the Certified Data Science Associate  course have experienced Data Scientists, AI and Machine Learning experts who possess good knowledge of the subject matter.

 No. Coding is not required to learn Certified Data Science Associate courses.

You can enrol for the Certified Data Science Associate Course by visiting our website, and doing the payment through Debit/Credit card, Visa. The receipt for the payment done will be sent to your registered E-mail id.

Yes. You will be given a certificate after the completion of the Certified Data Science Associate course.

You will receive certification from IABAC® - International Association of Business Analytics Certification.

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

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 constraints, 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 an individual basis in assisting for the right Data Science job.

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 constraints, your relation manager at DataMites™ shall assist you with part payment agreements

You get a 100% refund training fee if 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 the latest information on Data Science as well as job updates.

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • Job connect
  • Resume Building
  • Mock interview with industry experts
  • Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

The Data Science Associate course aims to provide comprehensive knowledge in areas such as computer vision, machine learning, deep learning, neural networks, Python, and R.

To enroll in the Data Science Associate course, it is beneficial to have problem-solving skills, a curious mind, basic math and statistical knowledge, and an understanding of machine learning concepts.

The Data Science Associate course is suitable for freshers who want to build a career in machine learning and data science, as well as for professional data scientists and business analysts seeking to enhance their skills.

Upon completing the Data Science Associate course, you will have gained knowledge of data science applications in various domains, improved decision-making abilities, and learned how to reduce costs and maximize profits.

DataMites is a globally recognized institute for Data Science accredited by the International Association of Business Analytics Certifications (IABAC). With over 50,000 enrolled students, they offer a three-phase learning approach that includes self-study materials, intensive live online training, real-world projects, and valuable case studies. After training, you will receive an internship opportunity with the AI company Rubixe.

The Online Data Science Associate Course Fee is as follows:

  • USA: Regular price - $740, Discounted price - $618
  • India: Regular price - ₹45,000, Discounted price - ₹37,695
  • UK: Regular price - €330, Discounted price - €167

At DataMites, the Data Science Associate training program has a duration of 3 months.

DataMites does offer classroom training, currently available in Bangalore. However, they are open to hosting training sessions in other locations based on demand and the availability of candidates from those areas.

DataMites ensures that instructors for the Data Science Associate course are certified and highly qualified with extensive industry experience and expertise in the subject matter.

DataMites provides flexible learning options, including live online sessions, self-study materials, and classroom training. You can choose the mode that suits you best.

The FLEXI-PASS for Data Science Associate Training allows you to attend DataMites sessions for a period of 3 months, providing flexibility for addressing queries or revisiting topics.

Certainly, upon completing the course, DataMites will provide you with a course completion certificate.

If you miss a session, you can contact your trainers to schedule a makeup class according to your availability. For online training, every session will be recorded and made available for you to catch up at your own pace.

Yes, you will need to carry a valid photo ID proof such as a national ID card or driving license. This is required for issuing a participation certificate and booking certification exams, as necessary.

Yes, you will be provided with a free demo class to get an overview of the training methodology and the topics covered.

Yes, DataMites has a dedicated Placement Assistance Team (PAT) that provides placement facilities after the completion of the course.

DataMites follows a case study approach to learning, where theory is followed by hands-on practice, case studies, project work, and model deployment.

DataMites accepts payments via cash, net banking, cheque, debit card, credit card, PayPal, Visa, MasterCard, and American Express.

Absolutely, you can request support sessions to gain a better understanding of specific topics. DataMites is committed to helping you make the most out of your training.

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

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