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Data Science Course in Chennai

5 (591 Ratings)

Learn from IIT Madras Faculty & Industry Experts with Campus Immersion at IIT Madras Research Park

Get this Data Science Course in Chennai from IIT Madras faculty and industry experts and master in skills like Data Analytics, ML, AI, Deep Learning, Business Analytics etc. After completion of this Data Scientist training, you will also get certification from IITM Pravartak (Technology Innovation Hub of IIT Madras).

Only Few Seats Left No Prior Coding Experience Required!

Ranked #1 Data Science Program by India TV

Data Science Course Key Highlights

50+ Live sessions across seven months
218 Hrs Self-paced Videos
200 Hrs Project & Exercises
Learn from IIT Madras Faculty and Industry Practitioners
1:1 with Industry Mentors and 24*7 Support
Resume Preparation and LinkedIn Profile Review
Campus Immersion at IITM Pravartak
No-cost EMI Option

Data Science Course Overview

About the Data Science program co-created with IITM Pravartak

This Data Science course in Chennai by Intellipaat has been created in collaboration with the IITM Pravartak (Technology Innovation Hub of IIT Madras). IIT Madras has been ranked no.1 as per the NIRF 2020 ranking list in both the ‘overall’ and ‘engineering’ colleges category. The institute has also been receiving 1st rank for 5 consecutive years. The Data Science certification course has been well crafted jointly by esteemed professors, domain professionals, and subject matter experts. Multiple projects and assignments have been included to offer learners the opportunity to handle real-life scenarios. Quizzes at the end of each session ensure that you develop a strong foundation in the domain.

On successful completion of this Data Science course in Chennai, you will be awarded a completion certificate from IITM Pravartak. This Data Science course in collaboration with IITM Pravartak is well recognized by top 150+ MNCs such as Ericsson, Cognizant, Cisco, TCS, Genpact, etc.

  • As per Glassdoor, the average income of Data Scientists in India is about ₹976k per annum
  • LinkedIn has over 3,000 job opportunities in India
  • It is the best job profile of the 21st century – Harvard Business Review
  • The global Big Data market to reach US$122 billion in revenue in 6 years – Frost & Sullivan
  • The number of jobs for all the US data professionals will increase to 2.7 million per year – IBM

Today, almost all industry verticals, regardless of their customer orientation, are actively hiring Data Scientists, making it very worthwhile to get certified.

Advantages of Data Science Course

IIT Madras & Intellipaat are the premier institutes for Data Science course in Chennai, which helps you master the concepts such as:

  1. Data analysis, project life cycle, and implication of the technology 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

Our Data Science certification is exclusively designed by industry experts for:

  • Big Data, BI, and Analyst Professionals
  • Big Data Statisticians
  • Machine Learning Professionals
  • Predictive Analytics and Information Architects
  • Those looking for a career in this domain

There are no particular prerequisites for this Data Science course in Chennai. If you love mathematics, it is helpful.

Chennai provides great opportunities for professionals in the domain. Being a major IT destination in South India, there is increased demand for qualified and certified Data Science professionals. Some of the top sectors that are hiring Data Scientists include manufacturing, IT, finance, banking, and more.

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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 more cleanly - The Co-founder of PayPal

Career Transition

55% Average Salary Hike

$1,20,000 The Highest Salary

12000+ Career Transitions

500+ Hiring Partners

Career Transition Handbook

*Past record is no guarantee of future job prospects

Meet Your Mentors

Who can apply for the Data Scientist 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 who are 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 investigating the reported errors in the data.

AI & ML Engineer

Use Lambda functions and API Gateway to integrate machine learning models to web apps and deploy models in SageMaker.

Data Engineer & Data Analyst

Perform data cleansing, and data transformation, analyze the outcomes, and present the insights in 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 business products through designing and developing machine learning models.

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Skills Covered

Python

Data Science

Data Analysis

AI

GIT

MLOps

Data Wrangling

SQL

Story Telling

Machine Learning

Prediction algorithms

NLP

PySpark

Model

Data visualization

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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
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Data Science Course Fees in Chennai

Online Classroom ( Intellipaat)

  • 50+ Live sessions across
  • 7 months of Instructor-led Training
  • One-on-one doubt resolution sessions

$999

Online Classroom Preferred

  • Live Classes from IIT Madras Faculty
  • Certification from IITM Pravartak
  • Job Assistance ( Mock Interviews, Resume Preparation)
  • Resume Preparation and LinkedIn Profile Review
  • Dedicated Learning Manager
23 Sep

SAT - SUN

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

30 Sep

SAT - SUN

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

07 Oct

SAT - SUN

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

14 Oct

SAT - SUN

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

$1,755 10% OFF Expires in

Corporate Training

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

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Data Scientist Course Content

Live Course Self Paced Industry Expert Academic Faculty

Module 1 – Preparatory Session - Linux and Python

Preview

Python 

  • Introduction to Python and IDEs – The basics of the Python programming language, how you can use various IDEs for python development like Jupyter, Pycharm, etc. 
  • Python Basics – Variables, Data Types, Loops, Conditional Statements, functions, decorators, lambda functions, file handling, exception handling ,etc.
  • Object Oriented Programming – Introduction to OOPs concepts like classes, objects, inheritance, abstraction, polymorphism, encapsulation, etc.
  • Hands-on Sessions And Assignments for Practice – The culmination of all the above concepts with real-world problem statements for better understanding. 

Linux

  • Introduction to Linux  – Establishing the fundamental knowledge of how Linux works and how you can begin with Linux OS. 
  • Linux Basics – File Handling, data extraction, etc.
  • Hands-on Sessions And Assignments for Practice – Strategically curated problem statements for you to start with Linux. 

Module 2 – Data Wrangling with SQL

Preview

SQL Basics – 

  • Fundamentals of Structured Query Language
  • SQL Tables, Joins, Variables 

Advanced SQL –  

  • SQL Functions, Subqueries, Rules, Views
  • Nested Queries, string functions, pattern matching
  • Mathematical functions, Date-time functions, etc. 

Deep Dive into User Defined Functions

  • Types of UDFs, Inline table value, multi-statement table. 
  • Stored procedures, rank function, SQL ROLLUP, etc.

SQL Optimization and Performance

  • Record grouping, searching, sorting, etc. 
  • Clustered indexes, common table expressions.

Hands-on exercise: 

Writing comparison data between the past year and the present year with respect to top products, ignoring the redundant/junk data, identifying the meaningful data,  and identifying the demand in the future(using complex subqueries, functions, pattern matching concepts).

Extract Transform Load

  • Web Scraping, Interacting with APIs

Data Handling with NumPy

  • NumPy Arrays, CRUD Operations, etc.
  • Linear Algebra – Matrix multiplication, CRUD operations, Inverse, Transpose, Rank, Determinant of a matrix, Scalars, Vectors, Matrices.

Data Manipulation Using Pandas

  • Loading the data, data frames, series, CRUD operations, splitting the data, etc.

Data Preprocessing

  • Exploratory Data Analysis, Feature engineering, Feature scaling, Normalization, standardization, etc.
  • Null Value Imputations, Outliers Analysis and Handling, VIF, Bias-variance trade-off, cross-validation techniques, train-test split, etc.

Data Visualization

  • Bar charts, scatter plots, count plots, line plots, pie charts, donut charts, etc. with Python matplotlib.
  • Regression plots, categorical plots, area plots, etc, with Python seaborn.

Descriptive Statistics – 

  • Measure of central tendency, the measure of spread, five points summary, etc. 

Probability 

  • Probability Distributions, Bayes’ theorem, central limit theorem. 

Inferential Statistics –  

  • Correlation, covariance, confidence intervals, hypothesis testing, F-test, Z-test, t-test, ANOVA, chi-square test, etc.

Introduction to Machine Learning 

  • Supervised, Unsupervised Learning.
  • Introduction to scikit-learn, Keras, etc.

Regression 

  • Introduction classification problems, Identification of a regression problem, dependent and independent variables.
  • How to train the model in a regression problem.
  • How to evaluate the model for a regression problem.
  • How to optimize the efficiency of the regression model.

Classification 

  • Introduction to classification problems, Identification of a classification problem, and dependent and independent variables.
  • How to train the model in a classification problem.
  • How to evaluate the model for a classification problem.
  • How to optimize the efficiency of the classification model.

Clustering 

  • Introduction to clustering problems, Identification of a clustering problem, dependent and independent variables.
  • How to train the model in a clustering problem.
  • How to evaluate the model for a clustering problem.
  • How to optimize the efficiency of the clustering model.

Supervised Learning 

  • Linear Regression – Creating linear regression models for linear data using statistical tests, data preprocessing, standardization, normalization, etc.
  • Logistic Regression – Creating logistic regression models for classification problems – such as if a person is diabetic or not, if there will be rain or not, etc.
  • Decision Tree – Creating decision tree models on classification problems in a tree like format with optimal solutions.
  • Random Forest – Creating random forest models for classification problems in a supervised learning approach.
  • Support Vector Machine – SVM or support vector machines for regression and classification problems.
  • Gradient Descent – Gradient descent algorithm that is an iterative optimization approach to finding the local minimum and maximum of a given function.
  • K-Nearest Neighbors – A simple algorithm that can be used for classification problems.
  • Time Series Forecasting – Making use of time series data, gathering insights and useful forecasting solutions using time series forecasting.

Unsupervised Learning 

  • K-means – The k-means algorithm that can be used for clustering problems in an unsupervised learning approach.
  • Dimensionality reduction – Handling multi dimensional data and standardizing the features for easier computation.
  • Linear Discriminant Analysis –  LDA or linear discriminant analysis to reduce or optimize the dimensions in the multidimensional data.
  • Principal Component Analysis – PCA follows the same approach in handling the multidimensional data.
  • Classification reports – To evaluate the model on various metrics like recall, precision, f-support, etc.
  • Confusion matrix – To evaluate the true positive/negative, and false positive/negative outcomes in the model.
  • r2, adjusted r2, mean squared error, etc.

Artificial Intelligence Basics 

  • Introduction to keras API and TensorFlow

Neural Networks

  • Neural networks
  • Multi-layered Neural Networks
  • Artificial Neural Networks 

Deep Learning

  • Introduction to Deep Learning (by Academic Faculty)
  • Deep neural networks
  • Convolutional Neural Networks 
  • Recurrent Neural Networks
  • GPU in deep learning
  • Autoencoders, restricted boltzmann machine 

The Data Science capstone project focuses on establishing a strong hold of analyzing a problem and coming up with solutions based on insights from the data analysis perspective. The capstone project will help you master the following verticals: 

  • Extracting, loading and transforming data into usable format to gather insights. 
  • Data manipulation and handling to pre-process the data.
  • Feature engineering and scaling the data for various problem statements. 
  • Model selection and model building on various classification, regression problems using supervised/unsupervised machine learning algorithms.
  • Assessment and monitoring of the model created using the machine learning models.
  • Recommendation Engine – The case study will guide you through various processes and techniques in machine learning to build a recommendation engine that can be used for movie recommendations, restaurant recommendations, book recommendations, etc.
  • Rating Predictions – This text classification and sentiment analysis case study will guide you towards working with text data and building efficient machine learning models that can predict ratings, sentiments, etc.
  • Census – Using predictive modeling techniques on the census data, you will be able to create actionable insights for a given population and create machine learning models that will predict or classify various features like total population, user income, etc.
  • Housing – This real estate case study will guide you towards real world problems, where a culmination of multiple features will guide you towards creating a predictive model to predict housing prices.
  • Object Detection – A much more advanced yet simple case study that will guide you toward making a machine learning model that can detect objects in real-time.
  • Stock Market Analysis – Using historical stock market data, you will learn about how feature engineering and feature selection can provide you with some really helpful and actionable insights for specific stocks.
  • Banking Problem – A classification problem that predicts consumer behavior based on various features using machine learning models.
  • AI Chatbot – Using the NLTK python library, you will be able to apply machine learning algorithms and create an AI chatbot.

Electives:

Power BI Basics

  • Introduction to PowerBI, Use cases and BI Tools , Data Warehousing, Power BI components, Power BI Desktop, workflows and reports , Data Extraction with Power BI.
  • SaaS Connectors, Working with Azure SQL database, Python and R with Power BI
  • Power Query Editor, Advance Editor, Query Dependency Editor, Data Transformations, Shaping and Combining Data ,M Query and Hierarchies in Power BI.

DAX 

  • Data Modeling and DAX, Time Intelligence Functions, DAX Advanced Features

Data Visualization with Analytics  

  • Slicers, filters, Drill Down Reports
  • Power BI Query, Q & A and Data Insights
  • Power BI Settings, Administration and Direct Connectivity
  • Embedded Power BI API and Power BI Mobile
  • Power BI Advance and Power BI Premium

Hands-on Exercise:

Creating a dashboard to depict actionable insights in sales data.

Introduction to MLOps 

  • MLOps lifecycle
  • MLOps pipeline 
  • MLOps Components, Processes, etc

Deploying Machine Learning Models 

  • Introduction to Azure Machine Learning 
  • Deploying Machine Learning Models using Azure
  • Job Search Strategy
  • Resume Building
  • Linkedin Profile Creation
  • Interview Preparation Sessions by Industry Experts
  • Mock Interviews
  • Placement opportunities with 400+ hiring partners upon clearing the Placement Readiness Test.

Excel Fundamentals 

  • Reading the Data, Referencing in formulae , Name Range, Logical Functions, Conditional Formatting, Advanced Validation, Dynamic Tables in Excel, Sorting and Filtering 
  • Working with Charts in Excel, Pivot Table, Dashboards, Data And File Security 
  • VBA Macros, Ranges and Worksheet in VBA 
  • IF conditions, loops, Debugging, etc.

Excel For Data Analytics 

  • Handling Text Data, Splitting, combining, data imputation on text data, Working with Dates in Excel, Data Conversion, Handling Missing Values, Data Cleaning, Working with Tables in Excel, etc.  

Data Visualization with Excel

  • Charts, Pie charts, Scatter and bubble charts
  • Bar charts, Column charts, Line charts, Maps
  • Multiples: A set of charts with the same axes, Matrices, Cards, Tiles

Excel Power Tools 

  • Power Pivot, Power Query and Power View

Classification Problems using Excel

  • Binary Classification Problems, Confusion Matrix, AUC and ROC curve 
  • Multiple Classification Problems  

Information Measure in Excel

  • Probability, Entropy, Dependence 
  • Mutual Information 

Regression Problems Using Excel

  • Standardization, Normalization, Probability Distributions 
  • Inferential Statistics, Hypothesis Testing, ANOVA, Covariance, Correlation
  • Linear Regression, Logistic Regression, Error in regression, Information Gain using Regression

Hands-on Exercise:

Classification problem using excel on sales data, and statistical tests on various samples from the population.

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Free Career Counselling

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Data Science Projects

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!

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Career Services

Career Services

Career Oriented Sessions

Throughout the course

Over 10+ 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 that will help you stay on track with your upskilling.

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 the profile shortlisting stage

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.

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 learner’s educational background, past experience, and future career aspirations.

Placement Assistance

Upon movement to the Placement Pool

Placement opportunities are provided once the learner is moved to the placement pool upon clearing Placement Readiness Test (PRT)

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

Key achievements of IIT Madras:

  • NIRF Rank 1 for the last 3 years
  • Ranked 50 in Asia by the QS World University Rankings in 2020
  • Ranked 63 in Emerging Economic University Rankings in 2020

Participants completing this Data Science course successfully will be awarded by Advance certification in Data Science & Artificial Intelligence by CCE IIT Madras and Intellipaat.

At the end of this Data Science course in Chennai, there will be quizzes that perfectly reflect the type of questions asked in the respective exams. They will help you score better.

Data Science Course in Chennai Reviews

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Data Science Training in Chennai FAQs

Why should I learn Data Science in Chennai from Intellipaat?

Intellipaat offers exclusive Data Science courses in Chennai 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
  • Real-time exercises, assignments, and projects
  • Extensive LMS, allowing you to view recorded sessions within 3 hours
  • 24/7 learning support
  • Personalized job support
  • Large community of like-minded learners
  • Industry-recognized Intellipaat badge

Intellipaat, one of the leading E-learning institutes which provides top courses in R Certification, Artificial Intelligence, Data Analytics, Machine Learning, Python, Python for Data Science, Business Analytics online course and others to help to increase your understanding of your field of work and to validate your skills.

Yes. At Intellipaat, we offer a Data Science Master’s program designed by professionals from top organizations around the globe. They will teach you and help you gain proficiency in all the basic and advanced level modules in this domain, including Big Data Analytics with Spark, SQL, Deep Learning methods, statistical computation, real-time analytics, parsing machine-generated data, etc. Moreover, you will have exclusive access to the IBM Watson Cloud Lab for Chatbots. It involves 10 courses, 53 real-world industry projects, and 1 CAPSTONE project that will give you hands-on experience.

The courses mentioned below will be covered in this program:

Online instructor-led courses:

Course 1: Data Science with R
Course 2: Python for Data Science
Course 3: Machine Learning
Course 4: Artificial Intelligence and Deep Learning with TensorFlow
Course 5: Big Data Hadoop & Spark
Course 6: Tableau Desktop 10
Course 7: Data Science with SAS

Self-paced courses:
Course 8: Advanced Excel
Course 9: MongoDB
Course 10: MS SQL

Yes, Intellipaat publishes various blogs on Data Science. Among them, the major ones are Interview Questions, Tutorial, and everything about Data Science.

This online Data Science Course in Chennai is curated by top Data Scientists from India and the United States. These SMEs have designed the study materials in such a manner that even if you are from a non-technical background and have almost zero knowledge of this domain, you can still learn and adapt all concepts easily. Also, we provide practical experience through real-time projects that allow even freshers to easily grasp the concepts.

Yes. You can enroll for this program while doing your graduation as we offer both live lessons and self-paced videos, and you will have the liberty of learning the technology in your own free time and pace. The live sessions are scheduled twice a week, so you would not be required to spend too much time on it, allowing you to get on with your graduation program effortlessly. In case you miss one or more classes, you can watch the recorded session of the respective lecture and catch up with the rest of your batch before the next live class.

Intellipaat is one of the most affordable e-learning providers today. The cost for our online instructor-led Data Science training in Chennai is ₹85,044,

No Cost EMI options are available. For more a detailed information, contact our team @ IN: +91-7022374614

In this Data Science training, we have included real-world industry-based projects, which help you gain hands-on experience in the field and prepare you for challenging roles.

Industry Project Name Objective
BFSI Fraud Detection in Banking System Deploying the technology to detect fraudulent activities and take remedial actions
Entertainment Movie Recommendation Engine Building a movie recommendation engine, based on user interests
E-commerce Making Sense of Customer Buying Patterns Deploying target selling to customers

You will master the following tools and languages in this Data Science program, among several others:

  • GIT
  • Python
  • Statistics
  • SQL
  • NLP
  • Tableau
  • TensorFlow

In the career mentoring session at Intellipaat, our Data Science experts offer solutions to all your queries that are based on career opportunities and the growth available in this domain.

Intellipaat does not directly forward resumes to any companies or recruiters. However, we do have a placement team that will conduct a number of mock interviews and will assist you in updating your resume to prepare you for job interviews. The team thus helps you land a lucrative job in the Data Science domain.

In this online Data Science training in Chennai, you can expect several benefits, including the following:

  • Free course upgrade throughout a lifetime
  • Anytime online assistance
  • Industry-recognized course completion certification from Intellipaat and IITM Pravartak
  • Lifelong access to the entire courseware

Data Science refers to the branch of computer science that deals with a wide range of algorithms, tools, statistical methods, and machine learning techniques to identify hidden trends and patterns from structured and unstructured data, thus producing actionable insights for companies.

Intellipaat’s teaching assistants are SMEs whose main aim is to make you a certified professional in the respective domain. The trainers conduct interactive video lectures to teach the latest technologies and enrich your experience with various industry-based projects. The teaching assistance provided by Intellipaat is only available during regular hours.

Intellipaat online program comprises all the topics that are required and significant to learn so that you can master this technology. Intellipaat’s Data Science course comprises both basic and advanced-level concepts involved in this technology so that you can learn them and master the skills to pursue a career in this domain. Moreover, the trainers are experts in the domain who spend time and effort to teach you all the concepts in detail.

If you wish to enroll in our Data Scientist training in Chennai, then you need to first make a choice between online instructor-led and self-paced training. Once you do that, you can make the payment using any major credit card, debit card, or EMI options.

A data scientist’s job involves performing data analysis and data processing to understand business challenges and offer the best solutions to the organization. They use their statistical, mathematical, and analytical skills to help companies process, analyze, and interpret the data, allowing the organization to make better decisions concerning the organization.

Top companies that hire the professionals are:

  • Fidelity Investments
  • Accenture
  • Aon
  • Oath
  • MSD
  • Intel
  • Amazon
  • Google

There are several job roles available for professional Data Scientists in Chennai, including the ones mentioned below:

  • Data Analyst
  • Big Data Professional
  • Machine Learning Engineer
  • Data Analyst
  • Data Scientist
  • Business Analyst

According to Glassdoor, the average Data Scientist Salary in Chennai is ₹10 Lakhs per year.,

To become a data scientist in the current market, one must have a bachelor’s degree in a computer-related field or data science. Certifications and degrees from recognized universities or e-learning institutes add a structure to your career in this domain. Data Science boot camps will help you become a master in this domain. Explore globally recognized data science programs in partnership with top universities and colleges offered by a renowned Data Science training institute in Chennai, that is Intellipaat.

Since it involves various aspects of advanced technologies, such as Machine Learning, Deep Learning, and Artificial Intelligence, among others, it is comparatively difficult to learn. However, this online training is offered by IIT Madras faculty and Industry experts who have a lot of experience in the field. They make all concepts easier to understand as they explain each concept with the help of several real-life examples.

Intellipaat selects subject matter experts from top MNCs, who have at least 8 to 12 years of experience in the domain, as instructors. They are qualified Data Science instructors and are selected after going through our rigorous selection process and proving their capabilities.

Intellipaat provides various group offers and discounts for its online program as per the size and type of the particular group. If you wish to avail the discount, you need to get in touch with our advisors who will explain to you all the details regarding the program.

The Data Science market is booming in Chennai, thanks to its prominence of being the center for top enterprises across India in the domains of technology and software. So, professionals with the help of this Data Science course in Chennai can take advantage of this boom in the market.

For Intellipaat’s courses, geographical boundaries do not apply. It does not matter in whichever area you are in, be it Thiruvanmiyur, Velachery, Anna Nagar, Madipakkam, Adyar, Medavakkam, Porur, K. K. Nagar, Sholinganallur, Alwarpet, Nungambakkam, Tambaram, or anywhere. You can access our online program sitting at your home or office.

At Intellipaat, you need not worry about missing a class. In the LMS, we provide recorded videos of each session so that learners can refer to it at any time. Our support team will also be available to assist you with any such concerns. So, if you miss any session, simply contact the support team. They will schedule an extra class and one-on-one meetings with your trainers to let you catch up.

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.

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Our Chennai Mailing Address

Data Science Course in Chennai. Address – #714A, Spencer Plaza, Phase II, 7th Floor, Anna Salai, Thousand Lights, Chennai – 600002, India. Call Us: +91-7022374614

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