Data Science Course In Madurai

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.

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Madurai's Emerging Tech Ecosystem

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

₹100 Cr - ₹1,000 Cr

IT & Services Exports

Strong export revenues from Madurai drive growth in the data and IT sectors.

68+

Active Tech Companies in Madurai

Over 123+ companies in Madurai are scaling their tech and data teams.

9,205+

Tech Talent Pipeline

Madurai's growing workforce feeds the demand for analytics and ML roles.

521+

Data Science Job Openings

Active data science and analytics openings across Madurai's tech firms.

Data Scientist Salaries in Madurai

Competitive compensation packages across experience levels

Entry Level (0-2 years)

₹3 - 5 LPA

Data Analyst, Junior Data Scientist

Mid Level (3-5 years)

₹5 - 10 LPA

Data Scientist, ML Engineer

Senior Level (6+ years)

₹10 - 15+ 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

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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

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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

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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

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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

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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

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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

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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

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Product Analytics

Topics covered:

Module 1

2 Months

SQL

Topics covered:

Module 1

2 Months

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SQL

Topics covered:

Module 2

1 Month

Tableau

Topics covered:

Module 2

1 Month

Unlock

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

Unlock

Beginner Python 1

Topics covered:

Module 4

1 Month

Beginner Python 2

Topics covered:

Module 4

1 Month

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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

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

Mohit Uniyal

Data Science - Contractor

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

Ajay Shenoy

Lead - DSML

AI/ML educator with deep research and industry experience.

Anant Mittal

Director - Computer Science and AI

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

Mudit Goel

Senior Vice President and Business Head

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

Prashant K Tiwari

Software Engineer

ML engineer focusing on risk modeling and practical ML workflows.

Sundaravaradhan

Analytics Manager - Supply Chain

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

Sameer Shah

Lead Data Science

Data engineer skilled in backend systems and analytics pipelines.

Shan Mehrotra

Lead Data Engineer

Data scientist with product analytics and experimentation expertise.

Amit Singh

Lead Instructor

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

Mohit Kukkarl

Sr. Scientist

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

Suransh Chopra

Applied Scientist II

Engineer experienced in financial systems and scalable data engineering.

Vishwath Parthasarathy

Staff Data Scientist - I

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

Suraaj Hasija

Data Science Manager

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

Thanish Batcha

Senior Data Scientist-Il

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

Srikanth Varmaa

Senior Vice President DSML and AI

AI engineer-educator building data and ML skills globally.

Success Stories from Madurai

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.

Rohit Kamra

Data Scientist @ Brillio

Scaler helped me build strong foundations in DSML, from statistics to Python and SQL. Consistent learning and curiosity now shape my growth at Brillio.

Faqs

Have more Questions?

Program

How long is the Data Science program and what is the learning format?

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.

Is prior coding experience required to begin this course?

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.

Do sessions take place live or are they recorded? What happens if I miss one?

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.

Which candidates usually join the Data Science program from Madurai?

Typically, candidates from diverse backgrounds, including engineering, mathematics, and computer science, join the Data Science program, aiming to transition into roles within Madurai's thriving industries.

Is this course designed for working professionals in Madurai?

This course is specifically designed to cater to the needs of working professionals, providing them with the necessary skills to upskill or reskill in the field of Data Science, which is in high demand in cities like Madurai.

Is it possible to enroll from Madurai while targeting jobs in other tech hubs?

Enrollment from Madurai is feasible, with the flexibility to target jobs in prominent tech hubs across the country, including Bengaluru, Hyderabad, or Chennai.

Curriculum

Are projects relevant to Madurai industries included in the curriculum?

The curriculum includes projects relevant to Madurai industries, ensuring that learners are well-prepared to tackle real-world challenges and contribute to the local economy.

What are the key modules covered in the high-level curriculum?

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).

Which types of projects align best with recruitment needs in Madurai?

Projects that align with the recruitment needs in Madurai often involve predictive modeling, data visualization, and business analytics, which are crucial for the city's economic growth.

Is it possible to customize my capstone project for industries in Madurai?

Customizing the capstone project to align with industries in Madurai, such as manufacturing, healthcare, or education, is not only possible but also highly recommended to gain practical insights.

Which data tools are most important to learn for roles in Madurai?

To excel in roles within Madurai, focusing on data tools like Python, R, SQL, and Tableau is essential, as these are widely used in the city's data-driven sectors.

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 career support is included and what aspects are not guaranteed?

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

Which types of firms recruit freshers for Data Science positions in Madurai?

Freshers in Data Science are recruited by a variety of firms in Madurai, ranging from IT companies and startups to manufacturing and service sector organizations, all seeking to harness the power of data.

How is placement assistance tailored for candidates targeting Madurai?

Placement assistance is tailored to meet the specific needs of candidates targeting Madurai, with a focus on resume building, interview preparation, and networking opportunities within the city.

Which companies do candidates in Madurai typically interview with?

Candidates from Madurai often interview with top companies, including those in the IT sector, startups, and established firms looking to leverage data science for business expansion.

Tuition Fee

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Job & Career

What are the typical salary expectations for data science jobs in Madurai?

Salary expectations for data science jobs in Madurai vary based on experience, skills, and industry, but generally, they are competitive with other major cities in India, reflecting the city's growing importance in the tech landscape.

Which data roles are currently most in-demand in Madurai?

Roles such as Data Scientist, Business Analyst, and Data Engineer are currently in high demand in Madurai, with a growing need for professionals who can work with data to solve complex problems.

Which sectors in Madurai are the top recruiters for data analytics?

Sectors such as healthcare, finance, and manufacturing are among the top recruiters for data analytics in Madurai, seeking professionals who can analyze data to drive business outcomes.

What is the typical structure of data science interviews in Madurai?

The typical structure of data science interviews in Madurai involves a combination of technical questions, case studies, and behavioral interviews to assess a candidate's skills, experience, and fit for the role.

Which portfolio projects are most valued by recruiters in Madurai?

Recruiters in Madurai value portfolio projects that demonstrate practical application of data science concepts, such as machine learning models, data visualizations, and insights that can inform business decisions.

How can I customize my resume for data science openings in Madurai?

To customize a resume for data science openings in Madurai, it's essential to highlight relevant skills, such as programming languages, data analysis tools, and experience with local industry projects.

Certification

Is the certification recognized by major companies in Madurai?

The certification is recognized by major companies in Madurai, enhancing the credibility and job prospects of learners in the local market and beyond.

What are the criteria to earn the certificate and what does it signify?

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.

Will this certification improve my application for data roles in Madurai?

The certification signals structured training and hands-on analytics experience relevant to Madurai's data roles. It complements portfolios focused on FinTech, pharma analytics, and enterprise domains.

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