Data Science Course In Indore

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
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Our Alumni Work At 1500+ Companies

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Indore's Thriving Tech Ecosystem

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

₹3.8K Cr+

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

362+

Active Tech Companies in Indore
Over 493+ companies in Indore are scaling their tech and data teams.

43,235+

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

1,810+

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

Data Scientist Salaries in Indore

Competitive compensation packages across experience levels
Experience Level
Salary Range
Typical Roles
Entry Level (0-2 years)
₹3.5 - 6 LPA
Data Analyst, Junior Data Scientist
Mid Level (3-5 years)
₹6 - 12 LPA
Data Scientist, ML Engineer
Senior Level (6+ years)
₹12 - 18+ 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 Indore

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 Indore?

Typically, a diverse range of candidates from Indore join the Data Science program, including recent graduates, IT professionals, and individuals from analytics and related fields seeking to upskill or reskill.

Is this course designed for working professionals in Indore?

This course is thoughtfully designed to cater to the needs of working professionals in Indore, offering a balanced schedule that accommodates their existing commitments.

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

Enrollment from Indore is possible, with the flexibility to target jobs in other prominent tech hubs across the country, given the program's comprehensive curriculum and remote accessibility.

Curriculum

Are projects relevant to Indore industries included in the curriculum?

The curriculum includes projects that are highly relevant to Indore industries, ensuring that learners gain practical experience and insights into the local market's specific challenges and opportunities.

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 Indore?

Projects that focus on predictive modeling, machine learning, and data storytelling tend to align best with the recruitment needs in Indore, as they demonstrate a candidate's ability to drive business decisions with data.

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

Customization of the capstone project to align with industries in Indore, such as manufacturing, education, or healthcare, is not only possible but also encouraged to enhance its relevance and applicability.

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

For roles in Indore, proficiency in tools like Python, R, SQL, Tableau, and Power BI is highly valued, given their widespread application in data analysis and visualization across various 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 Indore?

Freshers in Indore are recruited by a variety of firms, including consultancies, e-commerce companies, and financial institutions, which value the skills and knowledge imparted by the Data Science program.

How is placement assistance tailored for candidates targeting Indore?

Placement assistance is tailored to meet the unique needs of candidates targeting Indore, with dedicated support for resume building, interview preparation, and networking within the local industry.

Which companies do candidates in Indore typically interview with?

Candidates from Indore often interview with a mix of local startups, established IT companies, and multinational corporations that have a presence in the city, reflecting Indore's growing stature as a tech hub.

Tuition Fee

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Job & Career

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

Salary expectations for data science jobs in Indore can vary widely based on factors like experience, specific role, and industry, but generally, they are competitive with other major cities in India, given the local cost of living and the demand for skilled professionals.

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

Roles related to machine learning engineering, data engineering, and business analytics are currently in high demand in Indore, reflecting the city's growing need for professionals who can develop and implement sophisticated data solutions.

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

Among the top recruiters for data analytics in Indore are sectors such as pharmaceuticals, automotive, and IT services, which heavily rely on data-driven decision-making to stay competitive.

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

The typical structure of data science interviews in Indore involves a combination of technical assessments, case studies, and behavioral questions, aimed at evaluating both the candidate's technical expertise and their ability to communicate complex ideas effectively.

Which portfolio projects are most valued by recruiters in Indore?

Recruiters in Indore place a high value on portfolio projects that demonstrate real-world applications, innovation, and the ability to extract insights from complex data, particularly in areas like customer behavior analysis or operational optimization.

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

Customizing a resume for data science openings in Indore involves highlighting relevant technical skills, showcasing local project work or experience, and emphasizing the ability to work with diverse datasets and tools.

Certification

Is the certification recognized by major companies in Indore?

The certification is recognized by major companies in Indore, as it is awarded by a reputable institution with a strong track record of placing graduates in prominent roles across various sectors.

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 Indore?

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