Data Science Course In Kolkata

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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Our Alumni Work At 1500+ Companies

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kolkata's Expanding Tech Startup Ecosystem

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

₹13.1K Cr

Kolkata software exports (STPI, FY23–24)
STPI-Kolkata registered units reported ₹13,148.30 crore exports in FY23–24—supporting a growing data & IT services market.

193+ startups

Funding $149.91M+
A growing ecosystem with active funding and hiring across early and growth-stage companies.

2.6 lakh+

Tech Talent Pipeline
Kolkata’s IT cluster has ~2.6 lakh employees across ~1,500 firms, building a strong pipeline for data teams.

$149.91M+

2% of India's startups
Funding momentum fuels new product builds—driving demand for analytics, ML, and experimentation.

Data Scientist Salaries in Kolkata

Competitive compensation packages across experience levels
Experience Level
Salary Range
Typical Roles
Entry Level (0-2 years)
₹4.5 - 7 LPA
Data Analyst, Junior Data Scientist
Mid Level (3-5 years)
₹7 - 17 LPA
Data Scientist, ML Engineer
Senior Level (6+ years)
₹17 - 23+ 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
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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
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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 Kolkata

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

Can I join from Kolkata if I’m targeting roles in other major cities?

Kolkata-based learners often apply to roles across metro cities while building strong analytics foundations locally. The focus on data analyst and data science roles aligns well with hiring patterns across India.

Is this program suitable for working professionals in Kolkata?

Yes, many Kolkata learners pursue the program alongside full-time roles in IT services, analytics, or finance-related teams. The structure supports preparation for SQL-, Excel-, and Python-focused interviews common in Kolkata’s hiring landscape.

Who typically enrolls in the Data Science course from Kolkata?

Learners from Kolkata often come from IT services, education, BFSI, and analytics support roles. Many are targeting Data Analyst and Business Analyst positions that align with the city’s service-oriented and finance-linked job market.

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

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

Yes, learners often design capstones around banking analytics, customer segmentation, or public-sector-style datasets. Such themes match Kolkata’s finance-heavy and service-driven analytics environment.

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

Strong proficiency in SQL and Excel is particularly important due to common interview patterns in Kolkata. Python and basic statistics are also valued for analyst and data science roles.

What kind of projects best match hiring needs in Kolkata?

Projects centered on business analytics, financial reporting, and operational dashboards resonate well with Kolkata recruiters. These align with the city’s strengths in BFSI, IT services, and analytics support functions.

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 Kolkata-focused candidates usually interview with?

Candidates often interview with IT services firms, BFSI organizations, analytics support centers, and education or service-based companies in Kolkata. These interviews reflect the city’s emphasis on reporting-driven and business-focused analytics.

How does placement support help candidates targeting Kolkata specifically?

Placement support focuses on resume reviews and mock interviews aligned with Kolkata’s interview patterns, such as SQL, Excel, and business case discussions. Guidance is tailored toward analyst and entry-level data science roles.

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 Kolkata?

Highlight projects that demonstrate business impact, reporting depth, and analytical reasoning. Emphasizing SQL, Excel, and applied analytics helps align with Kolkata interview expectations.

What kind of portfolio projects stand out to Kolkata recruiters?

Recruiters value projects involving financial analysis, customer segmentation, and performance dashboards. These reflect Kolkata’s focus on finance-linked and service-driven analytics work.

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

Interviews often emphasize SQL, Excel, and logical problem-solving, followed by basic Python or statistics questions. Business understanding and clarity of insights are especially important.

Which industries in Kolkata hire the most for data analytics?

BFSI, IT services, education, and analytics support centers drive much of the demand. Roles often focus on reporting, insights generation, and decision-support analytics.

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

Kolkata commonly hires for Data Analyst, Business Analyst, and junior Data Scientist roles. These are prevalent across IT services firms, BFSI organizations, and analytics teams supporting national operations.

Certification

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

The certification signals structured learning and hands-on analytics exposure relevant to Kolkata’s data roles. It complements portfolios focused on BFSI, reporting, and business analytics use cases.

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.