Data Science Course In Navi Mumbai

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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Navi Mumbai's Growing Tech Ecosystem

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

₹25.0K Cr+

IT & Services Exports

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

1,262+

Active Tech Companies in Navi Mumbai

Over 1,017+ companies in Navi Mumbai are scaling their tech and data teams.

1.5 Lakh+

Tech Talent Pipeline

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

4,742+

Data Science Job Openings

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

Data Scientist Salaries in Navi Mumbai

Competitive compensation packages across experience levels

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

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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 Navi Mumbai

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 Navi Mumbai?

Typically, candidates from diverse backgrounds, including IT professionals, engineers, and those with a keen interest in data analysis from Navi Mumbai, join the Data Science program.

Is this course designed for working professionals in Navi Mumbai?

This course is indeed designed with working professionals in mind, providing a balanced schedule that accommodates the needs of those based in Navi Mumbai.

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

Enrollment from Navi Mumbai is possible, with many students targeting jobs in other prominent tech hubs like Pune or Bangalore, while still leveraging the program's flexibility.

Curriculum

Are projects relevant to Navi Mumbai industries included in the curriculum?

The curriculum does include projects relevant to Navi Mumbai industries, ensuring that learners gain practical experience tailored 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 Navi Mumbai?

Projects that align with the recruitment needs in Navi Mumbai, such as predictive modeling for supply chain optimization or customer segmentation for local businesses, are particularly favored.

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

Customization of the capstone project to fit industries specific to Navi Mumbai, such as manufacturing or pharmaceuticals, is not only possible but also encouraged to enhance relevance and applicability.

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

For roles in Navi Mumbai, proficiency in tools like Python, R, SQL, and Tableau is highly valued, given their widespread application in data science tasks.

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 Navi Mumbai?

Both startups and established firms in Navi Mumbai recruit freshers for Data Science positions, offering a range of opportunities for new entrants in the field.

How is placement assistance tailored for candidates targeting Navi Mumbai?

Placement assistance is tailored to connect candidates with job opportunities in Navi Mumbai, leveraging local industry connections and job market insights.

Which companies do candidates in Navi Mumbai typically interview with?

Candidates from Navi Mumbai often interview with a mix of multinational corporations and local businesses, reflecting the diverse economic landscape of the region.

Tuition Fee

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Job & Career

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

Salary expectations for data science jobs in Navi Mumbai can vary based on experience and specific role but generally range from competitive to very attractive, considering the local cost of living.

Which data roles are currently most in-demand in Navi Mumbai?

Roles related to data analysis, business intelligence, and machine learning are currently most in-demand in Navi Mumbai, driven by the need for data-driven decision making.

Which sectors in Navi Mumbai are the top recruiters for data analytics?

Sectors such as IT, manufacturing, and pharmaceuticals are among the top recruiters for data analytics talent in Navi Mumbai, reflecting the region's industrial base.

What is the typical structure of data science interviews in Navi Mumbai?

The typical structure of data science interviews in Navi Mumbai includes a mix of technical questions, case studies, and behavioral interviews, assessing both skill and fit.

Which portfolio projects are most valued by recruiters in Navi Mumbai?

Portfolio projects that demonstrate an understanding of local market challenges and offer data-driven solutions are highly valued by recruiters in Navi Mumbai.

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

Customizing your resume for data science openings in Navi Mumbai involves highlighting relevant skills, such as data visualization or machine learning, and any experience with local industry applications.

Certification

Is the certification recognized by major companies in Navi Mumbai?

The certification is recognized by major companies in Navi Mumbai, enhancing the credibility and job prospects of those who complete the program.

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 Navi Mumbai?

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

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