Courses ×

Back

Corporate Training Explore Courses

Data Science Course Online

5 ( 591 ) Ratings

Learn Data Science from IIT Madras faculty & Industry experts and earn a Data Science certification from India's #1 Engineering College. Become a Data Scientist through multiple data Science courses covered in this 7 months certification program with hands on exercises & Project work.

Ranked #1 Data Science Program by India TV

In collaboration with img

Key Highlights

100 Hrs Instructor Led Training
218 Hrs Self-paced Videos
200 Hrs Project & Exercises
Learn from IIT Madras Faculty & Industry Practitioners
1:1 with Industry Mentors
3 Guaranteed Interviews by Intellipaat
24*7 Support
No Cost EMI Option
Intellipaat-Key-Features
Intellipaat-Key-Features
Intellipaat-Key-Features

Data Science Course Overview

This Data Scientist course in collaboration with IIT Madras provides live instructor-led sessions that help you prepare for Data scientist job role. Data Scientists are among the highest-paid and most in-demand professionals. Our in-depth Data Science program cover python programming, Machine Learning etc. At the end of this online Data Science course, you will work on real-time capstone projects.

What courses will be offered in this Data Scientist Program?

In this advanced certification program, you will learn 12 data science courses along with multiple case studies and project work.

Online Instructor-led:

  • Course 1: Fundamentals of Python & Linux
  • Course 2: Git
  • Course 3: Python for Data Science
  • Course 4: Advance Statistics
  • Course 5: Machine Learning & Prediction Algorithms
  • Course 6: Data Science with PySpark
  • Course 7: A.I and Deep Learning through Tensorflow
  • Course 8: MLOps
  • Course 9: Data Visualization using Tableau

Apart from the live classes you will have electives in self-paced format:

Data Analysis with Excel, Data Wrangling with SQL, NLP and its Applications.

The demand for Data Scientists far exceeds the supply. This is a serious problem in the data-driven world that we are living in today. As a result, most organizations are willing to pay high salaries for professionals with appropriate Data Science skills.

Data Science training online will help you become proficient in Data Science, R programming language, Data Analysis, Big Data, and more. Thus, you can easily accelerate your career in this evolving domain and take it to the next level.

The average annual salary of Data Scientists as per Indeed is US$122,801 in the United States.

  • Data Scientist is the best job in the 21st century – Harvard Business Review
  • The number of jobs for all data professionals in the United States will increase to 2.7 million – IBM
  • Global Big Data market achieves US$122 billion in sales in 6 years – Frost & Sullivan

Advantages of Data Science

In the United States, the average salary of a Data Scientist is US$112,957. The average salary of Data Scientists in India is ₹853,191.

  1. Understand the Problem

Data Scientists should be aware of the business pain points and ask the right questions.

  1. Collect Data

They need to collect enough data to understand the problem at hand and to better solve it in terms of time, money, and resources.

  1. Process the Raw Data

Data is rarely used in its original form. It must be processed, and there are several ways to convert it into a usable format.

  1. Explore the Data

Once the data has been processed and converted into a usable form, Data Scientists must examine it to determine the characteristics and find out obvious trends, correlations, and more.

  1. Analyze the Data

To understand the data, they use a variety of tool libraries, such as Machine Learning, statistics and probability, linear and logistic regression, time series analysis, and more.

  1. Communicate Results

At last, results must be communicated to the right stakeholders, laying the groundwork for all identified issues.

Criteria Data Analyst Business Analyst Data Scientist
Skill set Analyzing business needs Analyzing historical data Making data-driven decisions
Who is eligible? Anybody can learn Anybody can learn Anybody can learn
What do they do? Full life cycle analysis, including business needs, activities, and designing Implementing technology solutions and analyzing and reporting business capabilities Statistical analysis and the development of Machine Learning systems
Average salaries US$68,465 US$75,218 US$112,957
View More

Talk To Us

We are happy to help you 24/7

With data collection, ’the sooner the better’ is the best answer - The CEO of Yahoo
Everything is going to be connected with data and mediated by software - The CEO of Microsoft
The world is now awash in data, and we can see consumers in a cleaner way - The Co-founder of PayPal

Career Transition

55% Average Salary Hike

$1,20,000 Highest Salary

12000+ Career Transitions

500+ Hiring Partners

Career Transition Handbook

Who can apply for the course?

  • Information Architects and Statisticians
  • Developers looking to master Machine Learning and Predictive Analytics
  • Big Data, Business Analysis, Business Intelligence, and Software Engineering Professionals
  • Aspirants looking to work as Machine Learning Experts, Data Scientists, etc.
Who can aaply

What roles does a Data Scientist play?

Data Scientist

Design and implement scalable codes alongside effectively developing high-quality applications.

Analytics and Insights Analyst

Develop solutions for fixing quality issues in the data upon an investigation of the reported errors in the data.

AI & ML Engineer

Use Lambda functions and API Gateway to integrate Machine Learning models in web apps along with deploying models in SageMaker.

Data Engineer & Data Analyst

Perform data cleansing, data transformation, analyze the outcomes and present the insights in the form of reports and dashboards.

Junior Data Scientist

Analyze the operating behavior using advanced statistical techniques and tools. Also, create algorithms with prescriptive and descriptive methods.

Applied Scientist

Derive intelligence for the business products through designing and developing Machine Learning models.

View More

Skills Covered

Python

Data Science

Data Analysis

AI

GIT

MLOps

Data Wrangling

SQL

Story Telling

Machine Learning

Prediction algorithms

NLP

PySpark

Model

Data visualization

View More

Tools Covered

tool-desktop tool-desktop tool-desktop tool-desktop tool-desktop tool-desktop tool-desktop tool-desktop tool-desktop tool-desktop tool-desktop tool-desktop tool-desktop tool-desktop tool-desktop
View More

Course Fees

Online Classroom Preferred

  • Everything in Self-Paced Learning, plus
  • 50 Live sessions of Instructor-led online training
  • One to one doubt resolution sessions
  • Attended as many batches as you want for Lifetime
  • Job Assistance
26 Sep

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

02 Oct

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

09 Oct

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

$1,737 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise grade learning management system (LMS)
  • 24x7 Support
  • Enterprise grade reporting

Contact Us

Data Science Course Content

Live Course Self Paced

Module 1 – Preparatory Sessions – Python & Linux

Preview

Basic Python libraries and functions will be taught to you along with the fundamentals of Linux operating system.

Module 2 – GIT

Preview
  • What is Version Control?
  • Types of Version Control System
  • Introduction to SVN
  • Introduction to Git
  • Git Lifecycle
  • Common Git commands
  • Working with branches in Git
  • Merging branches
  • Resolving merge conflicts
  • Git workflow
  • Introduction to Data Science using Python
  • Python basic constructs
  • Maths for DS-Statistics & Probability
  • OOPs in Python (Self paced)
  • NumPy for mathematical computing
  • SciPy for scientific computing
  • Data manipulation
  • Data visualization with Matplotlib
  • Machine Learning using Python
  • Supervised learning
  • Unsupervised Learning
  • Python integration with Spark (Self paced)
  • Dimensionality Reduction
  • Time Series Forecasting
  • Central tendency
  • Variability
  • Hypothesis testing
  • Anova
  • Correlation
  • Regression
  • Probability definitions and notation
  • Joint probabilities
  • The sum rule, conditional probability, and the product rule
  • Bayes theorem
  • Machine Learning using Python
  • Supervised learning
  • Unsupervised learning
  • Dimensionality reduction
  • Time-series forecasting
  • Introduction to Big Data and Apache Spark
  • Apache Spark framework and RDDs
  • PySpark SQL and Data Frames
  • Introduction to Hive
  • Introduction to Deep Learning and Neural Networks
  • Multi-layered Neural Networks
  • Artificial Neural Networks and various methods
  • Deep Learning libraries
  • Why and when we need MLOps
  • AI pipelines
  • Training, tuning, and serving on AI platform
  • Kubeflow pipelines on AI platform
  • CI/CD for Kubeflow pipelines
  • Introduction to data visualization
  • Architecture of Tableau
  • Working with metadata and data blending
  • Creation of sets
  • Working with filters
  • Organizing data and visual analytics
  • Working with mapping
  • Working with calculations and expressions
  • Working with parameters
  • Charts and graphs
  • Dashboards and stories
  • Tableau Prep
  • Integration of Tableau with R and Hadoop

In the Data Science Capstone project, you will use all the knowledge and skills you have acquired throughout this advanced certification program and gain industry experience in the domain.

  • Entering data
  • Referencing in formulas
  • Name range
  • Understanding logical functions & conditional formatting
  • Important formulas in Excel
  • Working with Dynamic table
  • Data transformation for analysis
  • Working with charts for data visualization
  • Pivot tables in Excel
  • Working with Macros in Excel and working with VBA
  • Introduction to SQL
  • Database normalization and entity-relationship model
  • SQL operators
  • Working with SQL: Join, tables, and variables
  • Deep dive into SQL 
  • functions
  • Working with Subqueries
  • SQL views, functions, and stored procedures
  • Overview of Natural Language Processing and text mining
  • Text mining, cleaning, and processing
  • Text classification
  • Sentence structure, sequence tagging, sequence tasks, and language modelling
  • Introduction to semantics and vector space models
  • Dialog systems
View More

Free Career Counselling

We are happy to help you 24/7

Data Science Projects Covered

Peer Learning

Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends – the possibilities are endless and our community has something for everyone!

Career Services

Career Services
Resume

Career Oriented Sessions

Throughout the course

Over 20+ live interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These will be guided sessions and that will help you stay on track with your up skilling objective.

Resume

Resume & LinkedIn Profile Building

After 70% of course completion

Get assistance in creating a world-class resume & Linkedin Profile from our career services team and learn how to grab the attention of the hiring manager at profile shortlisting stage

Resume

Mock Interview Preparation

After 80% of the course completion.

Students will go through a number of mock interviews conducted by technical experts who will then offer tips and constructive feedback for reference and improvement.

Resume

1 on 1 Career Mentoring Sessions

After 90% of the course completion

Attend one-on-one sessions with career mentors on how to develop the required skills and attitude to secure a dream job based on a learners’ educational background, past experience, and future career aspirations.

Resume

Assured Interviews

After 80% of the course completion

Assured Interviews upon submission of projects and assignments. Get interviewed by our 500+ hiring partners.

Resume

Exclusive access to Intellipaat Job portal

After 80% of the course completion

Exclusive access to our dedicated job portal and apply for jobs. More than 400 hiring partners’ including top start-ups and product companies hiring our learners. Mentored support on job search and relevant jobs for your career growth.

Data Science Certification by IIT Madras

What should I do to unlock my Data Science certification?

You can unlock your certificate issued by us in three simple steps:

  1. Complete the Data Science online course along with the given assignments
  2. Work on several industry-based projects and execute the same successfully
  3. Pass the certification exam

The certification you receive from us is valid for your entire lifetime and is recognized by top organizations across the world.

On completing this Data Science online course and passing the exam, you will receive our Data Science certificate online via our Learning Management System. You can download or share your certificate from this through either email or LinkedIn.

Yes. The certification issued by us is industry-recognized. Besides, due to our affiliation with IIT Madras, you will also receive a Data Science course completion certificate from IIT Madras.

View More

Data Scientist Course Reviews

5 ( 10,847 )

Our Alumni Work At

Master Client Desktop Master Client Mobile

Data Science Course FAQs

Why should I enroll in Intellipaat’s Data Science certification course by IIT Madras?

We offer the best Data Science courses online for professionals who want to expand their knowledge base and start a career in this field. There are many reasons for choosing Intellipaat:

  • A personal mentor to track your progress
  • Immersive online instructor-led sessions conducted by SMEs
  • Extensive LMS, allowing you to view recorded sessions within 3 hours
  • Real-time exercises, assignments, and projects
  • 24/7 learning support
  • A large community of like-minded learners
  • Industry-recognized Intellipaat badge
  • Personalized job support

Through this training you will master the following concepts:

  1. Data analysis, project life cycle, and Data Science in the real world
  2. Machine Learning algorithms
  3. Techniques of evaluation, experimentation, and project deployment
  4. Analysis segmentation using clustering and the technique of prediction
  5. Python with Data Science
  6. Git, Storytelling
  7. Data Science at scale with PySpark, AI with TensorFlow
  8. Deploying Machine Learning models on Clouds ( MLOps)
  9. Data visualization with Tableau
  10. Natural Language Processing and its applications
  11. Microsoft excel for data analysis and data transformation
  12. Data Science projects, analytics, and recommender systems

Intellipaat offers courses on Data Science, Machine Learning, Artificial intelligence, Python, Python for Data Science, Data Analytics, Business Analytics.

If you are looking for free resources on Data Science, then read our blogs on Data Science Tutorials and Data Science Interview Questions.

Data Science is a branch of computer science that deals with a wide range of algorithms, tools, scientific methods, and Machine Learning techniques to identify hidden trends and patterns from structured and unstructured data.

Data Scientists are experts in the field of Data Science who are responsible for collecting and analyzing huge chunks of structured and unstructured data from a range of data sources. These professionals combine their knowledge and skills in areas like mathematics, statistics, and computer science to enable organizations to analyze and process business data, and interpret this data to help the company make improved business decisions.

There are several ways to become a Data Scientist. The Data Scientists use a large number of Data Science tools/technologies, such as R and Python programming languages, and analysis tools, like SAS. As a budding Data Scientist, you should be familiar with data analysis, statistical software packages, data visualization, and handling large datasets. Data Scientists’ major time spent in data exploration and data wrangling.

Python is the most popular and preferred language used in Data Science. This is because Python is an easy-to-use and easy-to-learn, open-source programming language. Moreover, it is a dynamic language that supports multiple paradigms. Apart from this, some of the other languages used in Data Science, include R and SQL.

Many top companies hire Data Scientists. A few of them are Amazon, Google, IBM, Facebook, Microsoft, Walmart, Target, Visa, Bank of America, Accenture, Fractal Analytics, etc.

There are numerous job opportunities available for Data Scientists, some of which are mentioned below:

  • Business Analyst
  • Data Analyst
  • Big Data Engineer
  • Data Scientist
  • Statistician
  • Data Engineer
  • Machine Learning Engineer
  • Data Architect

It does not take too long to become a Data Scientist. Once you complete the Data Science training with us, execute all the projects successfully, and meet all the requirements, you will receive an industry-recognized Data Science course completion certificate from us. Further, with the help of our placement team who will prepare your resume and conduct mock interviews before your job interviews, you will be able to crack your interview and land a high-paying job as a Data Scientist.

This Data Science course is designed for both beginners who are new to the field of Data Science and experienced professionals who wish to upskills themselves in this domain.

You will gain access to our job portal once you complete the entire training program and execute the assignments and projects that are part of the program.

At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.

Intellipaat is offering 24/7 query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail of email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our support team. However, 1:1 session support is provided for a period of 6 months from the start date of your course.

Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.

You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.

Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.

You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.

Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.

Apparently, no. Our job assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.

View More
Select Currency