Data Science Course in Hyderabad

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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Hyderabad’s Emerging Tech Startup Ecosystem

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

₹2.7L Cr

Telangana IT exports (FY23–24)

Telangana’s IT sector exports rose 11.3% to ₹2.7 lakh crore in FY23–24—supporting steady demand for data roles in Hyderabad.

1 unicorn

602+ startups

A strong scale-up pipeline means more data teams, tooling, and ML use-cases.

9.5 lakh

Tech Talent Pipeline

Telangana employs ~9.5 lakh IT professionals (FY23–24), giving Hyderabad access to a large, experienced tech talent base.

$637.12M+

6% of India's startups

Funding momentum fuels new product builds—driving demand for analytics, ML, and experimentation.

Data Scientist Salaries in Hyderabad

Competitive compensation packages across experience levels

Entry Level (0-2 years)

₹6 - 10 LPA

Data Analyst, Junior Data Scientist

Mid Level (3-5 years)

₹10 - 23 LPA

Data Scientist, ML Engineer

Senior Level (6+ years)

₹23 - 30+ 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

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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

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 Alumni

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.

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.

Adyashree Mahapatra

Senior Research Analyst @ Crisil

Scaler’s live classes, mock interviews, case studies, and mentorship strengthened my DSML foundations and boosted my confidence.

Faqs

Have more Questions?

Program

Can I join from Hyderabad if I’m targeting roles in other tech hubs?

Hyderabad-based learners often apply to roles across major tech hubs while building experience in IT services and product analytics. The focus on data science and analytics roles aligns well with hiring patterns across India’s technology sector.

Is this program suitable for working professionals in Hyderabad’s IT corridor?

Yes, many Hyderabad learners balance the program alongside roles in IT services, SaaS, or analytics teams. The structure works well for professionals preparing for SQL, Python, and analytics-focused interviews common in the city.

Who typically enrolls in the Data Science course from Hyderabad?

Learners from Hyderabad often come from IT services, product engineering, and pharma or life sciences backgrounds. Many are targeting Data Analyst and Data Scientist roles aligned with the city’s strong tech and healthcare ecosystem.

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

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

Strong foundations in SQL and Python are critical due to Hyderabad’s interview patterns for data analyst and data scientist roles. Statistics and applied ML concepts are also important, especially for healthcare and enterprise analytics teams.

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

Yes, learners often choose capstones involving clinical data analysis, supply chain optimization, or SaaS performance metrics. These themes align closely with Hyderabad’s pharma, healthcare, and enterprise technology landscape.

What kind of projects best match hiring needs in Hyderabad?

Projects around healthcare analytics, operational optimization, and product usage analysis resonate well with Hyderabad recruiters. These reflect the city’s mix of IT services, SaaS, and pharma-driven data needs.

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 Hyderabad-focused candidates usually interview with?

Candidates often interview with IT services firms, global capability centers, SaaS companies, and pharma or healthcare organizations in Hyderabad. These interviews reflect the city’s emphasis on large-scale analytics and domain-driven data work.

How does placement support help candidates targeting Hyderabad specifically?

Placement support focuses on resume reviews and mock interviews aligned with Hyderabad’s interview patterns, such as SQL, Python, and domain-based questions. Guidance is tailored toward analyst and data scientist roles common in IT and healthcare sectors.

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

What kind of portfolio projects stand out to Hyderabad recruiters?

Recruiters value projects involving healthcare datasets, operational analytics, and scalable data pipelines. These reflect Hyderabad’s strengths in life sciences and enterprise technology delivery.

How should I tailor my resume for data roles in Hyderabad?

Highlight projects tied to IT services delivery, healthcare analytics, or enterprise-scale datasets. Emphasizing SQL, Python, and practical problem-solving helps match common Hyderabad interview expectations.

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

Interviews often emphasize SQL and Python problem-solving, followed by statistics or ML fundamentals. Domain-oriented discussions, especially around healthcare or enterprise use cases, are also common.

Which industries in Hyderabad hire the most for data analytics and ML?

IT services, SaaS, pharma, and healthcare are the biggest drivers of data hiring. Many roles focus on large-scale data analysis, reporting, and applied machine learning.

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

Hyderabad frequently hires for Data Analyst, Data Scientist, and Analytics Engineer roles. These are common across IT services firms, global capability centers, and healthcare-focused organizations.

Certification

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

The certification signals structured learning and hands-on project exposure relevant to Hyderabad’s data roles. It supports applications to IT services, healthcare analytics, and enterprise data teams.

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.

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