Data Science Course Features


The “Certified Data Science” course lets you gain proficiency in Data Science. It is a high-level data science notion designed aiming to cover all the aspects of data science with core concepts. Data Science is one of the most happening fields in business today, creating a higher number of career opportunities. The certifications from DataMites® are IABAC® (International Association of Business and Analytics Certification) accredited which is a global certification. The course has inclusive realms, namely Statistics, Machine Learning/ Programing/Data Skills, and Business Domain knowledge; covering all the mains of the Data Science helps you to achieve a solid grip over it.

The course focuses on basic Statistics, an overview of Machine learning with hands-on practice with a couple of Machine Learning algorithms and applications of Data Science in the top 5 industry domains. Also includes 2 hands-on Data Science case studies, enabling trainees not only to understand the core concepts but also to gain practical knowledge, thereby boosting confidence to pursue further knowledge in the field of Data Science.

We provide 7 monthly Certified Data Scientist Courses with both Certified Data Scientist Online Courses and Certified Data Scientist Classroom Courses that would be imparted within a three-phase learning method. 

Phase 1 = It’s time to get prepared for the course to come, candidates would be provided with self-study videos and books of high quality to enable an excellent grasp of the curriculum as a whole.

Phase 2 = The primary stage of Live Intensive training along with hands-on capstone projects and after the training, you will receive IABAC Certified Data Scientist Certification, a global certification. 

Phase 3 = Projects, Internships and Job ready Program.

The Certified Data Scientist Course offers a wide-ranging idea of Data Science to those interested to dive into the Data Science domain. Our CDS Training is for 7 Months. DataMites has trained over 25,000 learners with the aid of our 50+ elite and professional faculties.

The course is a complete pack with detailed learning of 15 courses:

  1. Data Science Foundation - Introduction to Data Science, Industry applications, Terminologies

  2.  Python Essentials for Data Science - Anaconda - Python distribution Installation and setup. Jupyter Notebook, Python Basics, Data structures, control statements. 

  3.  R Language Essentials - R Installation and Setup, R Studio Basics, R Data Structures, Control Statements, Data Science Packages.

  4.  Maths for Data Science - Essential mathematics, Linear algebra, Linear Transformation, Types of Matrices, Matrix properties and Operations, Probability and Calculus. 

  5. Statistics for Data Science - Run Down of Statistics, Terminologies, Inferential Statistics, Harnessing Data, Exploratory Analysis, Distributions, Central Limit Theorem, Hypothesis Testing, Correlation and Regression. 

  6. Data Preparation with Pandas - Numpy Array functions, Data munging with Pandas, imputation, outlier analysis.

  7. Visualization with Python - Basics of Visualization, Matplotlib Introduction, Basic plots, customizing plots, Sub-plots, Statistical Plots, Seaborn package introduction.

  8. Machine Learning Associate - Machine Learning Introduction, ML core concepts, Unsupervised and Supervised Learning, Clustering with K-Means, Linear Regression, Logistic Regression, K-nearest Neighbor.

  9. Advanced Machine Learning - Bayes Theorem, Naïve Bayes Algorithm for text classification, Decision Tree, Ensemble methods: Random Forest, Extra Trees, SVM, Boosting Techniques, xgboost, Artificial Neural Network, Adv Metrics, Imbalanced Dataset, Grid search, K-fold Cross-validation

  10. SQL for Data Science - Relational Database Management Systems basics, SQL Introduction, Connection to SQL databases, Fetching data with SELECT, WHERE condition, SQL JOINs, SQL CRUD operations. 

  11. Deep Learning - CNN Foundation - Deep Learning Introduction, TensorFlow and Keras, Convolution Neural Network basics, End to End image classification of cats and dogs using TensorFlow-Keras platform.

  12. Tableau Associate - Visual Analytics basics, Tableau Introduction, Connecting to the data source, dimensions vs measures, basic plots, compound plots, forecasting, publishing. 

  13. ML Model Deploy - Flask API- ML Deployment Strategies, Flask introduction, Packing training ML model, Deploying it on Flask as API.

  14. Big Data Foundation - Introduction to Big Data, Hadoop Concepts, Spark Big Data for Data Science Processing. Handling Big Data in Machine Learning Pipeline. 

  15. Data Science Project Execution - Data Science Project Management method, Business Case, Risk and Limitation of Machine Learning, Project Pitfalls.

The Certified Data Scientist course is specifically sketched out for beginners as well as intermediate learners who are chipping in to the much happening world of data science. DataMites CDS Program is a career-oriented one fabricated to instil a strong bedrock of Data Science and everything related to it. The course curriculum would cover statistics, maths and python alongside ML knowledge. CDS is a 6-month offline program that encompasses 400 hours of learning. You will be given 20 Capstone Projects and 1 Client project, a complimentary Tableau Course, Model Deployment in the Cloud and an Internship Opportunity! Sounds out of the world? 

Former US Chief Data Scientist, D J Patil said that “A Data Scientist is that unique blend of skills that can both unlock the insights of data and tell a fantastic story via the data.”

Data science is a very vast topic with each spectrum requiring the data to be dealt with in a unique way. Data Science is the current ruling technology that has conquered industries around the world due to the tremendous expansion of data and the increasing necessity for organisations to rely on data for decision-making, bringing the fourth industrial revolution to everyone's doorstep internationally.

How well do you know Data Science?

As claimed by Grandviewresearch.com, the international data science market size was of USD 3.93 billion value in 2019 and this number is foreseen to reach a compound annual growth rate of 26.9% from 2020 to 2027.

Freshers, software professionals, and analytic interested applicants can benefit from Datamites' cost-effective, high-quality, and real-time training courses. It is unavoidable in this era of technological eruption to have sufficient knowledge and skills to operate the rapidly evolving technology. The route is paved by technology. We have the ability to master the field if we are well-versed in it.

 Are you looking for the Best Data Science Training Institute? You are certainly where you ought to be! DataMites is paving the way to becoming the most prestigious training institute. We render comprehensive training in Data Science and related fields in India, the UK, the USA, Saudi Arabia, UAE, South Africa, the Philippines and more! DataMites provides real-time, qualitative training at affordable pricing. At DataMites, we’re proud of the fact that we’ve surpassed the 50-thousand-learner mark. IABAC- International Association of Business Analytics Certification - being our accreditation partner has global recognition. DataMites provide encyclopaedic training imparted by industry experts to mould you to be a crackerjack in those subjects that rule the world. Getting DataMites training is unquestionably the best move you can make. 

We provide you with expertized training thereby instilling in you all the skills you would need to get one step closer to achieving your dream job. Data scientists and analysts will be the most significant rising vocation in the world by 2022, according to the World Economic Forum

Datamites offers flexible learning options starting from Classroom Certified Data Scientist Training, Online Certified Data Scientist Training to Exceptional Recorded Sessions

DataMites Certified Data Scientist Course Fee ranges from 161.00 USD to 1180.63 USD as per your preferred choice of learning. You can always check in on your desired course and find out the course fee for the same.

DataMites Highlights:

  1. Global Recognition - IABAC Accreditation

  2. Expert Training - Elite Faculty with relevant research and coaching experience

  3. Comprehensive Training 

  4. Real-time Projects and Internships

  5. 100% Job Ready Assistance

Still in Doubt about Data Science?

According to the US Bureau of Labor Statistics, there will be 11.5 million employment in data science and analytics by 2026 - that is roughly five years from now.

Data Science is a rewarding career. At a time when employees are getting pink slips, pay cuts, and laid off, Data Science is one field that’s welcoming talent. You will not just have an authoritative role in your business or organization but receive good paychecks and enjoy a perfect work-life balance. DataMites also provides Data Science Foundation, Diploma in Data Science, Data Science for Managers, Data Science for Associates along with Certified Data Scientist Training!

Data Science Courses are your ticket to the city's top-tier IT systems; becoming a Data Scientist has never been so simple. Get upskilled for a profitable career path by enrolling in Certified Data Scientist Training!



Live Virtual

Instructor Led Live Online


  • IABAC® & DMC Certification
  • 7-Month | 400 Learning Hours
  • 100-Hour Live Online Training
  • 25 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

Blended Learning

Self Learning + Live Mentoring


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

Corporate Training

Customize Your Training

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


Enquire Now



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.

client company images not display
client company images not display

Why Datamites

Why DataMites Infographic


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

  • These four facets form four pillars for the 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 programming, it also includes R as necessary to enable professionals working in R.
  • Statistics are covered as required for a Data Scientist, you may find a 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 the 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 helps you to become a data science professional.
  • After successful completion of this “Certified Data scientist” course, you should have
  • Gained a better knowledge of the entire Data Science project workflow.
  • Understand key concepts of statistics
  • Gained 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 a Data Science project
  • Deliver end to end data science projects to customer

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

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 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 in 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

Technical skills like data analysis, statistical knowledge, data storytelling, communication, and problem-solving would be advantageous for learning DataScience. 

CDS Course is designed for data science freshers who wish to mark their grades and conquer the world of Data Science.

The Certified Data Scientist Course fee is:

  • The USA - 1171.73 USD

        Discounted price - 530.98 USD

  • India - 88,000 INR 

        Discounted price - 39,878 INR

  • Europe - 1031.40 Euro 

        Discounted price - 467.39 Euro

At DataMites you will have CDS training for a period of 6 months.

Yes, we have a dedicated Placement Assistance Team (PAT) who will provide you with placement facilities after the completion of the course.

As per Glassdoor: 

  • The national average Data Scientist salary in India is 10,00,000 per year.

        The Highest Data Scientist Salary in India - 23,00,000 per year

        The Lowest Data Scientist Salary in India - 5,00,000 per year

  • The national average Data Scientist salary in the United States is $1,17,212 USD per annum.

  • A data scientist in the UK earns an average salary of £52,052 a year.

  • The salary for a data scientist in Canada is CA$96,280 per annum.

  • A data scientist's salary in Australia is A$112,979 a year, per Indeed.com.

  • A data scientist in Germany earns an average salary of €55,443 a year. (Payscale)

  • The national average Data Scientist salary in Switzerland is CHF 1,34,880 per year.

  • A data scientist in UAE earns an average salary of AED 177,062 a year.

  • The national average Data Scientist salary in Saudi Arabia is SAR 175,058 per year. (Payscale)

  • A data scientist in South Africa earns an average salary of ZAR 418,288 a year. (Payscale)

Data is meaningless until its conversion into valuable information. Data Science involves mining large datasets containing structured and unstructured data and identifying hidden patterns to extract actionable insights. 

  • Data without science is nothing

  • Better customer experience

  • Increasing job opportunities

  • Escalating pay for Data science professionals

  • You will have numerous job titles from which to choose

  • You will be at the centre of decision-making in the company

Anyone, whether a newcomer or a professional, willing to learn Data Science can opt for it. Engineers, Marketing Professionals, Software, and IT professionals can take up part-time or external programs in Data Science. For regular courses in Data Science, basic high school level subjects are the minimum requirement.

The Data Science Course Fee would vary according to the level of training you are looking for. However, when we discuss fee structure, irrespective of any training provider that you choose for your classroom training for Data Science, it is ranging from USD 399.70 to USD 1332.33

  • Data Scientist

  • Machine-Learning Engineer

  • Machine-Learning Scientist

  • Application Architect

  • Data Architect

  • Data Engineer

  • Statistician

  • Data Analyst

  • Business Intelligence Analyst

  • Marketing Analyst

Having an understanding of Python, R, Excel, C++, Java and SQL is always preferred. But you can always learn from the basics and improve yourself.

Like any other field, with proper guidance Data Science can become an easy field to learn about, and one can build a career in the field. However, as it is vast, it is easy for a beginner to get lost and lose sight, making the learning experience difficult and frustrating

Some major Data Science tools include; SAS, Apache Hadoop, Tableau, BigML, BigML, Knime, RapidMiner, Excel, Apache Flink, and Power BI.

View more


  • Introduction To Data Science
  • Industry Applications
  • Terminologies
  • Anaconda - Python Distribution Installation And Setup
  • Jupyter Notebook
  • Python Basics
  • Data Structures
  • Control Statements
  • R Installation And Setup
  • R Studio Basics
  • R Data Structures
  • Control Statements
  • Data Science Packages
  • Essential Mathematics
  • Linear Algebra
  • Linear Transformation
  • Types Of Matrices, Matrix Properties, And Operations Probability And Calculus
  • Statistics Introduction
  • Terminologies
  • Inferential Statistics
  • Harnessing Data
  • Exploratory Analysis
  • Distributions
  • Central Limit Theorem
  • Hypothesis Testing
  • Correlation, And Regression
  • Numpy Array Functions
  • Data Munging With Pandas
  • Imputation
  • Outlier Analysis
  • Visualization Basics
  • Matplotlib Introduction
  • Basic Plots
  • Customizing Plots
  • Sub-Plots
  • Statistical Plots
  • Seaborn Package Introduction
  • Machine Learning Introduction
  • Ml Core Concepts
  • Unsupervised And Supervised Learning
  • Clustering With K-Means
  • Linear Regression
  • Logistic Regression
  • K-Nearest Neighbor
  • Bayes Theorem
  • Naïve Bayes Algorithm For Text Classification,
  • Decision Tree
  • Ensemble Methods: Random Forest,
  • Extra Trees
  • Svm, Boosting Techniques
  • Xgboost
  • Artificial Neural Network
  • Adv Metrics
  • Imbalanced Dataset
  • Grid Search
  • K-Fold Cross-Validation
  • Relational Database Management Systems Basics
  • Sql Introduction
  • Connection To Sql Databases
  • Fetching Data With Select
  • Where Condition
  • Sql Joins
  • Sql Crud Operations
  • Deep Learning Introduction
  • Tensorflow And Keras
  • Convolution Neural Network Basics
  • End To End Image Classification Of Cats And Dogs Using The Tensorflow-Keras Platform.
  • Visual Analytics Basics
  • Tableau Introduction
  • Connecting To Datasource
  • Dimensions Vs Measures
  • Basic Plots
  • Compound Plots
  • Forecasting
  • Publishing
  • Ml Deployment Strategies
  • Flask Introduction
  • Packing Training Ml Model
  • Deploying It On Flask As Api
  • Data Science Project Management Method
  • Business Case Risk
  • Limitation Of Machine Learning
  • Project Pitfalls.

Introduction to Big Data

  • Hadoop Concepts
  • Spark Big Data for Data Science Processing
  • Handling Big Data in Machine Learning Pipeline.


According to IDC, by 2025, global data will grow to 175 zettabytes. Data Science enables companies to efficiently understand gigantic data from multiple sources and derive valuable insights to make smarter data-driven decisions. Data Science is widely used in various industry domains, including marketing, healthcare, finance, banking, policy work, and more. That explains why Data Science is important.

Yes, companies do hire freshers for Data Scientist positions. In fact, most of the entry-level analytics jobs in India don’t need any specialization or post-graduation. The only qualification you need in these companies is an Engineering Degree and even the stream doesn’t matter. These companies only look for your Aptitude, communication skills and critical reasoning.

Datamites does provide classroom training, but only in Bangalore. We would be pleased to host one in other locations, ON-DEMAND of the applicants as according to the availability of other candidates from the exact location.

We are adamant in providing you with instructors who are certified and highly qualified with decades of experience in the industry and well versed in the subject matter.

We provide you with flexible learning options from Live Online, self-study methods to Classroom training. You can choose the one preferable to you.

Our Flexi-Pass for CDS training will allow you to attend sessions from DataMites for a period of 3 months concerning any queries or revisions you would like to clear.

We will issue you with IABAC® certification that would provide global recognition of the relevant skills.

Definitely, after the completion of your course, we will issue you with a course completion certificate.

  Yes. Photo ID Proof such as a National ID card, Driving License etc are required for issuing a Participation Certificate and booking certification exam as required.

You needn’t worry about that. Just contact your trainers regarding the same and fix a class according to your schedule. In the case of online training, every session will be recorded and uploaded so that you can easily learn whatever you missed at your own pace and comfort.

Yes, you shall be provided with a free demo class so as to give a brief idea of how the training will be done and what the training will cover.

We provide flexible learning options from Live Online, self-study methods to classroom training. You can choose the one preferable to you.

DataMites provides a three-phase learning method. In Phase 1, candidates would be provided with self-study videos and books to help them gain ample information about the course. 

Phase 2 is the primary stage of Intensive live online training and after the training, you will receive IABAC Certified Data Scientist Certification which is a global certification. And in the third phase, we will issue projects and placements.

Learning through a case study approach

Theory → Hands-On → Case Study → Project→ Model Deployment

Yes for sure, it’s important that you make the most out of your training sessions. You surely can ask for support sessions if you need any further clarifications.

We accept payment via;

  • Cash

  • Net Banking

  • Credit Card

  • PayPal

  • Visa

  • Master Card

  • American Express

  • Cheque

  • Debit Card

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.

View more

Data Science Interview Questions

Data Science Projects

Trending Courses in INDIA


HELPFUL RESOURCES - DataMites Official Blog