Data Science Course in Chennai

Learn Live, Build Real Projects, Get Interview-Ready
Master Python, SQL, ML, and GenAI with Scaler's live, mentor-led Data Science Course. Learn from top industry experts, build real projects, and fast-track your career with dedicated placement support.
13,412 learners already Enrolled
4.9(25k+ Reviews)

Our Alumni Work At 1500+ Companies

1500+ OTHER Companies

Chennai's Growing Tech Startup Ecosystem

A snapshot of Chennai's startup ecosystem and how it shapes demand (and pay) for Data Scientists.

₹85.5K Cr

Tamil Nadu software exports (STPI-Chennai, FY24–25)
STPI-Chennai units recorded ₹85,460 crore software exports in FY24–25 (up 6% vs FY23–24), reinforcing Chennai’s IT corridor growth.

1 unicorn

468+ startups
A strong scale-up pipeline means more data teams, tooling, and ML use-cases.

10 lakh+

Tech Talent Pipeline
Tamil Nadu’s tech workforce crossed 10 lakh (June 2022), with Chennai as a major hub feeding analytics and ML hiring.

$366.76M+

5% of India's startups
Funding momentum fuels new product builds—driving demand for analytics, ML, and experimentation.

Data Scientist Salaries in Chennai

Competitive compensation packages across experience levels
Experience Level
Salary Range
Typical Roles
Entry Level (0-2 years)
₹5 - 8 LPA
Data Analyst, Junior Data Scientist
Mid Level (3-5 years)
₹8 - 18 LPA
Data Scientist, ML Engineer
Senior Level (6+ years)
₹18 - 27+ LPA
Data Scientist, ML Engineer

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A Step-by-Step Learning Journey

Structured curriculum designed to take you from basics to industry-ready expertise
Module 1
2 Months

SQL

Topics covered:
Intro to DB & BigQuery Setup, Data Extraction with SQL, Data Filtering with SQL, Conditional Logic & Aggregations, Applied SQL – Part 1, Grouping & Aggregations Contd., Working with Subqueries, CTEs & UNION Operations, Applied SQL – Part 2, Introduction to Joins, Advanced Joins, Applied SQL – Part 3, Introduction to Window Functions, Advanced Window Functions, Date & Time Functions in SQL, Applied SQL – Part 4, SQL Query Optimization Techniques, Intro to SQL commands & MySQL Setup, Advanced SQL Concepts, Final SQL Case Study & Revision
Module 1
2 Months

SQL

Topics covered:
Module 2
1 Month

Tableau

Topics covered:
Intro to Data Visualization & Tableau, Basic Charts and Operations, Data Structuring options, Filters and Calculations, Level of Detail calculation, Table Calculation and Analytics, Operations on Dataset, Advanced Charts, Dashboard & Tableau Capstone Intro, Introduction to Gsheets Functions & Formulas, Lookup Functions & Dynamic Array Formulas, Pivot Tables, Statistical Functions and Macros, Dashboards & Gsheets Capstone Intro
Module 2
1 Month

Tableau

Topics covered:
Module 3
1 Month

Beginner Python 1

Topics covered:
Data Types, Variables and I/O, Operators + Control Statements, Loops 1 - While and For, Loops 2 - Nested Loops, Functions Introduction, Lists, Strings, Sets and Tuples, Dictionaries
Module 3
1 Month

Beginner Python 1

Topics covered:
Module 4
1 Month

Beginner Python 2

Topics covered:
Basics of Time & Space Complexity, Functional Programming 1 - Basics, Functional Programming 2 - Map, Filter, Reduce, Regex, OOPS 1 - Introduction, OOPS 2, Modules and Exception Handling, Project Class
Module 4
1 Month

Beginner Python 2

Topics covered:
Module 1
2 Months

Advanced Python

Topics covered:
Python Refresher - 1, Python Refresher - 2, Basics of Time and Space Complexity, Adv Py:Problem Solving - 1, OOPS - 1, OOPS - 2, Functional Programming - 1, Functional Programming - 2, Adv Py:Problem Solving - 2, Exception Handling and Modules, File Handling, Adv Py:Problem Solving - 3
Module 1
2 Months

Advanced Python

Topics covered:
Module 3
1 Month

Data Analytics and Visualisation - Fundamentals

Topics covered:
Intro to Hypothesis Testing, Z-test, Z - Proportion & T-test., Business Case: Aerofit Review, Walmart Launch, Paired T-test & Chisquared test, DAV 3 : PS Session 1, ANOVA, Advanced Hypothesis Testing, Correlation, Feature Engineering - 1, Business Case: Walmart Review, Yulu Launch, Feature Engineering - 2, DAV 3 : PS Session 2
Module 3
1 Month

Data Analytics and Visualisation - Fundamentals

Topics covered:
Module 2
1 Month

Data Analytics and Visualisation - Python Libraries

Topics covered:
Numpy-1, Numpy-2, Numpy-3, Numpy- Lab, Pandas-1, Pandas-2, Pandas-3, Pandas-4, Pandas- Lab, Data Visualisation-1, Business Case: Netflix Intro, Data Visualisation-2, Data Visualisation-3
Module 2
1 Month

Data Analytics and Visualisation - Python Libraries

Topics covered:
Module 4
1 Month

Product Analytics

Topics covered:
Product Strategy & Business Acumen, Product Metrics - 1, Product Metrics - 2, Root Cause Analysis - I (Myntra), Root Cause Analysis - II (Uber), CRM Analytics - RFM model, Customer Segmentation using SQL, A/B Testing & Launch Recommendation, Guess Estimate - 1, Guess Estimate - 2, Flight Overbooking + Airbnb Listings
Module 4
1 Month

Product Analytics

Topics covered:
Module 1
2 Months

SQL

Topics covered:
Intro to DB & BigQuery Setup, Data Extraction with SQL, Data Filtering with SQL, Conditional Logic & Aggregations, Applied SQL – Part 1, Grouping & Aggregations Contd., Working with Subqueries, CTEs & UNION Operations, Applied SQL – Part 2, Introduction to Joins, Advanced Joins, Applied SQL – Part 3, Introduction to Window Functions, Advanced Window Functions, Date & Time Functions in SQL, Applied SQL – Part 4, SQL Query Optimization Techniques, Intro to SQL commands & MySQL Setup, Advanced SQL Concepts, Final SQL Case Study & Revision
Module 1
2 Months

SQL

Topics covered:
Module 2
1 Month

Tableau

Topics covered:
Intro to Data Visualization & Tableau, Basic Charts and Operations, Data Structuring options, Filters and Calculations, Level of Detail calculation, Table Calculation and Analytics, Operations on Dataset, Advanced Charts, Dashboard & Tableau Capstone Intro, Introduction to Gsheets Functions & Formulas, Lookup Functions & Dynamic Array Formulas, Pivot Tables, Statistical Functions and Macros, Dashboards & Gsheets Capstone Intro
Module 2
1 Month

Tableau

Topics covered:
Module 3
1 Month

Beginner Python 1

Topics covered:
Data Types, Variables and I/O, Operators + Control Statements, Loops 1 - While and For, Loops 2 - Nested Loops, Functions Introduction, Lists, Strings, Sets and Tuples, Dictionaries
Module 3
1 Month

Beginner Python 1

Topics covered:
Module 4
1 Month

Beginner Python 2

Topics covered:
Basics of Time & Space Complexity, Functional Programming 1 - Basics, Functional Programming 2 - Map, Filter, Reduce, Regex, OOPS 1 - Introduction, OOPS 2, Modules and Exception Handling, Project Class
Module 4
1 Month

Beginner Python 2

Topics covered:

Real-World Projects Included

Build portfolio-worthy projects that demonstrate your expertise to employers

Sales Forecasting Engine

Use time-series forecasting to predict sales trends, helping businesses make data-driven planning decisions.

Insurance Premium Prediction

Build ML models to predict insurance premiums using exploratory analysis, statistical testing, and regression techniques.

Cybersecurity Threat Detection

Develop intelligent systems that detect evolving cyber threats through ML models and anomaly analysis.

AI Language Tutor

Create an interactive AI tutor using LLMs—build a Duolingo-like system that teaches languages through dynamic prompt-driven learning.

Master Industry-Standard Tools

Gain hands-on experience with the most in-demand technologies
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Industry Expert Mentors

Get personalized guidance from industry veterans with proven track records

Harshit Tyagi

Founder
Ex

Full-stack data scientist and AI engineer empowering global learners.

Mohit Uniyal

Data Science - Contractor
Ex

ML engineer specializing in anomaly detection, ranking, and GenAI.

Ajay Shenoy

Lead - DSML
Ex

AI/ML educator with deep research and industry experience.

Anant Mittal

Director - Computer Science and AI
Ex

Builder at the intersection of AI, education, and human learning.

Mudit Goel

Senior Vice President and Business Head
Ex

Industrial-engineer turned analytics manager delivering supply-chain impact.

Prashant K Tiwari

Software Engineer
Ex

ML engineer focusing on risk modeling and practical ML workflows.

Sundaravaradhan

Analytics Manager - Supply Chain
Ex

Supply-chain analytics lead transforming operations with scalable data products.

Sameer Shah

Lead Data Science
Ex

Data engineer skilled in backend systems and analytics pipelines.

Shan Mehrotra

Lead Data Engineer
Ex

Data scientist with product analytics and experimentation expertise.

Amit Singh

Lead Instructor
Ex

Instructor with expertise in systems, analytics, and engineering basics.

Mohit Kukkarl

Sr. Scientist
Ex

ML engineer specializing in forecasting, detection, and marketplace ML.

Suransh Chopra

Applied Scientist II
Ex

Engineer experienced in financial systems and scalable data engineering.

Vishwath Parthasarathy

Staff Data Scientist - I
Ex

ML engineer experienced in ranking systems and large-scale data pipelines.

Suraaj Hasija

Data Science Manager
Ex

Data scientist experienced in analytics, experimentation, and ML workflows.

Thanish Batcha

Senior Data Scientist-Il
Ex

ML practitioner skilled in modeling, statistical learning, and DL.

Srikanth Varmaa

Senior Vice President DSML and AI
Ex

AI engineer-educator building data and ML skills globally.

Success Stories from Chennai

Gain hands-on experience with the most in-demand technologies
Akshat
AI/ML Scientist @ MindShare

In just 2.5 months, Scaler helped me master DSML fundamentals and crack my first placement, thanks to expert mentors and a structured curriculum.

Adyashree Mahapatra
Senior Research Analyst @ Crisil

Scaler’s live classes, mock interviews, case studies, and mentorship strengthened my DSML foundations and boosted my confidence.

Avijit Swain
Senior Data Analyst @ Ganit

Scaler’s DSML program transformed my mindset, skills, and career vision helping me dream big and stay industry-relevant through practical learning.

Janardan Pandey
ML Engineer @ Camcom

With stellar instructors and a strong curriculum, Scaler helped me transition from a maths background to mastering ML and DL with confidence.

Nischay Sabharwal
Junior Data Scientist @ Adidas

Scaler built my foundational DSML skills and fueled my passion for data, helping me transition from mechanical design to data science successfully.

Faqs

Have more Questions?

Program

Can I join from Chennai if I’m targeting roles in other tech hubs?

Chennai-based learners often apply to roles across major tech hubs while leveraging experience in IT services and enterprise analytics. The focus on data analytics and data science roles aligns well with hiring patterns across India.

Is this program suitable for working professionals in Chennai?

Yes, many Chennai learners pursue the program alongside full-time roles in IT services, engineering, or analytics teams. The structure supports preparation for SQL-, Python-, and statistics-focused interviews that are common across Chennai’s enterprise hiring landscape.

Who typically enrolls in the Data Science course from Chennai?

Learners from Chennai commonly come from IT services, manufacturing, automotive, and BFSI backgrounds. Many are aiming for Data Analyst and Data Scientist roles that align with the city’s enterprise-heavy and industrial ecosystem.

Are the classes live or recorded? What if I miss a class?

Classes are conducted live online and are also recorded on the learning platform for revision. If you miss a session, you can watch the recording later and continue with the planned coursework.

Do I need a coding background to start?

A coding background is not required for the beginner pathway. You should be comfortable with basic school-level mathematics, and the course starts from foundational concepts.

What is the duration and format of the Data Science program?

The program is delivered online with a structured learning path, live interactive classes, assignments, and projects. The exact duration depends on the selected track/cohort as defined on the program page.

Curriculum

Which tools should I prioritize first for data roles in Chennai?

Strong proficiency in SQL and Python is essential due to Chennai’s interview patterns for data analyst and data scientist roles. Statistics and business-focused analytics are also important for manufacturing and enterprise contexts.

Can I tailor my capstone project to Chennai-specific industries?

Yes, many learners choose capstones around predictive maintenance, logistics analytics, or BFSI reporting use cases. Such themes align well with Chennai’s manufacturing base and enterprise-driven analytics needs.

What kind of projects best match hiring needs in Chennai?

Projects involving supply chain analytics, manufacturing optimization, and enterprise reporting resonate strongly with Chennai recruiters. These reflect the city’s strengths in manufacturing, automotive, and large IT services organizations.

What will I learn in the curriculum (high-level modules)?

The curriculum typically progresses from foundational tools (SQL, Python, BI basics) to data analysis and visualization, statistics and probability, machine learning and deep learning fundamentals, and advanced topics such as specialization modules and MLOps (as applicable).

Teaching

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Teaching Assistants

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Entrance Test

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Mentors

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Placement Support

What kinds of companies do Chennai-focused candidates usually interview with?

Candidates often interview with IT services firms, manufacturing and automotive companies, and BFSI organizations in Chennai. These interviews reflect the city’s emphasis on enterprise-scale and operations-driven analytics.

How does placement support help candidates targeting Chennai specifically?

Placement support focuses on resume reviews and mock interviews aligned with Chennai’s interview patterns, such as SQL, statistics, and domain-based problem-solving. Guidance is tailored toward analyst and data science roles common in enterprise and manufacturing sectors.

What placement support is provided and what is not guaranteed?

Placement support typically includes career guidance and interview preparation resources. It is support and assistance, not a job or salary guarantee.

Tuition Fee

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Job & Career

How should I tailor my resume for data roles in Chennai?

Highlight projects that demonstrate enterprise-scale analytics, manufacturing insights, or BFSI use cases. Emphasizing SQL, Python, and applied statistics helps match common Chennai interview expectations.

What kind of portfolio projects stand out to Chennai recruiters?

Recruiters value projects around supply chain optimization, production analytics, and financial reporting dashboards. These reflect Chennai’s strong industrial and enterprise focus.

What does the interview process for data roles in Chennai typically involve?

Interviews often emphasize SQL, Python, and statistics, followed by scenario-based or domain-oriented questions. Practical problem-solving tied to enterprise or manufacturing use cases is common.

Which industries in Chennai hire the most for data analytics?

Manufacturing, automotive, IT services, and BFSI drive most of the analytics hiring in Chennai. Many roles focus on operational insights, reporting, and applied analytics.

What are the most common data roles in Chennai right now?

Chennai frequently hires for Data Analyst, Data Scientist, and Business Analyst roles. These are common across IT services firms, manufacturing companies, and BFSI organizations.

Certification

Does the certification help when applying to data roles in Chennai?

The certification signals structured training and hands-on analytics experience relevant to Chennai’s data roles. It complements portfolios focused on manufacturing, enterprise analytics, and BFSI domains.

How do I earn the certificate and what does it represent?

You earn the certificate by completing the required modules, assignments, projects, and assessments as per the program criteria. It represents successful completion of a structured, hands-on learning pathway.