Data Science Course In Thane

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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Thane's Growing Tech Ecosystem

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

₹20.0K Cr+

IT & Services Exports
Strong export revenues from Thane drive growth in the data and IT sectors.

1,079+

Active Tech Companies in Thane
Over 850+ companies in Thane are scaling their tech and data teams.

1.2 Lakh+

Tech Talent Pipeline
Thane's growing workforce feeds the demand for analytics and ML roles.

4,535+

Data Science Job Openings
Active data science and analytics openings across Thane's tech firms.

Data Scientist Salaries in Thane

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
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 Thane

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 Thane?

Typically, the Data Science program attracts a diverse range of candidates from Thane, including recent graduates, IT professionals, and individuals from analytics and engineering backgrounds looking to transition into data science roles.

Is this course designed for working professionals in Thane?

This course is indeed designed with working professionals in mind, offering a balanced curriculum that accommodates the schedules of those based in Thane and seeking to enhance their data science skills.

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

Enrollment from Thane is feasible, and many students target jobs in other prominent tech hubs, leveraging the program's flexible structure to pursue opportunities nationwide.

Curriculum

Are projects relevant to Thane industries included in the curriculum?

The curriculum includes projects and case studies relevant to Thane industries, ensuring that students gain practical experience and insights applicable to the local job market.

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 Thane?

Projects that focus on predictive modeling, data visualization, and business intelligence tend to align well with the recruitment needs in Thane, as these skills are in high demand across multiple sectors.

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

Customization of the capstone project to align with industries in Thane, such as manufacturing or IT, is not only possible but also encouraged, allowing students to apply data science concepts to real-world problems relevant to their career interests.

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

For roles in Thane, proficiency in tools like Python, R, SQL, and Tableau is highly valued, as these are commonly used in data analysis and science applications across various industries.

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 Thane?

Freshers in Data Science from Thane are recruited by a broad spectrum of firms, including IT companies, consulting firms, and organizations from the pharmaceutical and automotive industries.

How is placement assistance tailored for candidates targeting Thane?

Placement assistance is tailored to meet the specific needs of candidates targeting Thane, with support provided in resume building, interview preparation, and networking opportunities with local employers.

Which companies do candidates in Thane typically interview with?

Candidates from Thane often interview with a variety of companies, ranging from startups to established corporations, including those in the technology, healthcare, and financial services sectors.

Tuition Fee

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Job & Career

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

Salary expectations for data science jobs in Thane can vary widely based on factors like experience, specific job role, and industry, but overall, data science professionals are among the highest-paid in the technology sector.

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

Currently, roles such as Data Scientist, Business Analyst, and Data Engineer are in high demand in Thane, with a significant need for professionals who can analyze complex data and drive business decisions with data-driven insights.

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

Sectors in Thane that are among the top recruiters for data analytics include IT, manufacturing, and financial services, with a growing demand from healthcare and e-commerce sectors as well.

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

The typical structure of data science interviews in Thane includes a combination of technical questions, case studies, and behavioral interviews, assessing both the candidate's technical proficiency and their ability to apply data science to business problems.

Which portfolio projects are most valued by recruiters in Thane?

Recruiters in Thane value portfolio projects that demonstrate practical application of data science concepts, such as machine learning models, data visualization dashboards, or insights derived from complex data analysis.

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

Customizing your resume for data science openings in Thane involves highlighting relevant technical skills, showcasing projects or internships related to data science, and emphasizing any experience or knowledge specific to the local industry.

Certification

Is the certification recognized by major companies in Thane?

The certification is recognized by major companies in Thane, enhancing the career prospects of individuals who hold it, as it demonstrates a level of expertise and knowledge in data science that is valued by employers across various industries.

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 Thane?

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