Trusted Data Science program in India with lifetime placement assistance (we support you until you’re 100% placed). This 100% job-oriented training is designed by Senior Data Scientists, Cloud Architects, and AI Experts. Skillturn’s portfolio-first, hands-on coding course helps you achieve entry-level CTCs of ₹5–12 LPA.
India's #1 Data Science Institute With Gen AI
Best Advance Data Science Course In India With Lifetime Placement Support
Top Rated Data Science & Analytics Program with 100% Job Assistance & Cloud Modules
India’s only Advance Data Science course with lifetime placement assistance—we stay with you until you’re 100% hired. Master Python, Advanced Data Libraries (Pandas, NumPy), Machine Learning, SQL, Big Data (PySpark), and AWS Cloud Services. Expert-led live sessions with real-world datasets to make you job-ready. Only 10 students per batch for focused, interactive learning. 1:1 mentor support and a work-along training approach—learn by coding and analyzing, not just watching. Get placed in India’s top IT and FinTech companies—or use your skills to freelance as a Data Consultant.
- 100% Lifetime Placement Assitance
- 15+ Industry Recognised Certifications
- Only 10 Students Batch >Interactive
- 1:1 Live Work-along Training Approach
Data Scientists Designed
Best Advance Data Science Program In India
₹0 Upfront Fees
( Pay After 5 Days Free Demo)
100% Placement
Assistance till you get hired
04 Apr 2026
Next Batch
4 Months
Duration
3+ Certifications
Industry Recognised
WorkAlong Projects
Practice on Live Datasets With Mentors
Why Skillturn is Right choice for you?
We make sure that every student should land a dream tech job or make them capable of working as a freelance data consultant after joining Skillturn and how we make it a reality because of SKILLTURN’S TRAINING METHODOLOGY is a way different than others we use work-along teaching methods to make sure that one can learn each analytical module with expertise. We not only teach our students but also train them on live datasets and industry oriented assignments.
Your Data Science with AI Journey
Step-by-step roadmap to becoming an industry-ready Data Engineer.
1
Start Free: Write Your First Python Script
Jump into core programming logic. Write real Python code, master basic data types, and build confidence before paying any upfront fees.
2
Enroll in the Full Data & AI Program
When you’re ready, unlock the complete curriculum. Learn step-by-step from Python OOPs, Pandas, SQL, to advanced AWS and Azure Cloud.
3
Master Big Data Frameworks
Level up from basic analytics to Big Data. Learn PySpark to process, query, and transform millions of rows of data at lightning speed.
4
Learn from Senior Data Engineers
Work directly with industry leaders who share insider database strategies, AI coding shortcuts, and real-world ETL troubleshooting.
5
Supercharge Workflows with AI
Integrate ChatGPT Plus and GitHub Copilot into your IDE to automate data cleaning, write complex SQL queries, and deploy pipelines faster.
6
Build a Production-Ready Portfolio
Work on real capstone projects—like Banking Fraud Detection and E-Commerce Data Lakes—to strengthen your GitHub and impress recruiters.
7
Optimize Your Tech Resume
Craft a hyper-focused resume that passes ATS scanners. Highlight your mastery in AWS, Python, PySpark, and PowerBI data visualization.
8
Ace Technical SQL/Python Interviews
Sharpen your logic with rigorous mock interviews and live-coding tests, stepping into real Data Engineer interviews fully prepared.
9
Celebrate: Land Your Dream Data Job
With an advanced portfolio, AI-assisted coding skills, and our lifetime placement support, launch your career and secure the tech role you deserve.
Key Highlights Of The Course
- 100+ Hours Of Live Class
- 50+ Hours of Videos
- 1-on-1 Mentoring Sessions
- 20+ Industry Tools Mastery
- In-Class Live Presentations
- 5+ Live Projects & Practice Assignments
- 100% Placement Assistance
- Resume & Interview Training
Syllabus
Our hybrid online Python Data Science Course is designed to teach students the basics to the advanced level concepts of Python Data Science with practice assignments and offline in-class projects which helps them to get placed in MNC’s.
Skillturn's Industry-Oriented Data Science with AI Curriculum
Outcome-focused training with live projects, certifications & 100% placement assistance.
Term 1 — Advanced Python, OOPs & Data Visualization
Build a rock-solid foundation in programming and data manipulation. In this term, you will master Python from the ground up, understand Object-Oriented Programming, and leverage powerful data libraries to clean, visualize, and extract insights from raw data.
What You Will Learn in Term 1
Module 1: Core Python Programming
Python Basics: Why Python, IDE setup, basics of programming, variables, data types, conditional statements, and loops.
Advanced Logic: Logical thinking, data structures, functions (and types of arguments), Lambda functions, and exception handling.
System Level Concepts: Memory management, garbage collector, shallow copy vs. deep copy, Iterables, Iterators, and Generators.
Higher Order Functions: Map, Reduce, and Filter.
Bonus: Python programming interview questions.
Module 2: Python Object-Oriented Programming (OOPs)
Class constructors (and types) and Destructors.
Types of variables: Instance vs. Static.
Inheritance: Single, Multiple, Multilevel, and Hierarchical.
Polymorphism, duck typing, Overloading (method, operator, constructor), Overriding (method, constructor), and the Super Function.
Encapsulation, access modifiers, Abstraction, and monkey patching.
Module 3: Python Libraries for Data Engineering (Pandas & NumPy)
NumPy: Introduction, creating arrays, indexing, slicing, data types, copy vs. view, array shape & reshape, splitting & joining arrays, and filtering.
Pandas Data Structures: Series and DataFrames.
Data Manipulation: Reading/Writing complex CSV, JSON, and Excel files. Head, tail, describe, shape, drop, inplace, loc & iloc.
Advanced Pandas: Merging DataFrames, Apply function, value count, adding columns/rows (concat, append), Order By, Sort Values, GroupBy operations, Pivot Tables, and Date/Time functionality.
Module 4: Data Visualization & Transformation
Matplotlib & Seaborn: Line graphs, bar plots, scatter plots, pie charts, and Seaborn models.
Data Engineering in Python: Handling missing data, imputing missing values, meaningful data transformation, and encoding data.
Outcome: By the end of Term 1, you will be a highly proficient Python developer. You will know exactly how to write object-oriented code, clean messy datasets, and manipulate complex data structures using Pandas and NumPy.
Term 2 — SQL/ETL, Multi-Cloud Data Engineering (AWS & Azure) & DevOps
A core part of Data Engineering is moving, querying, and storing data securely across different cloud environments. This term focuses heavily on Database Management, building multi-cloud infrastructure, and mastering industry-standard developer tools.
What You Will Learn in Term 2
Module 5: SQL / ETL (MySQL)
Database fundamentals: DBMS & RDBMS, Data Types, and Key Constraints.
Mastering SQL Commands: DQL, DDL, DML, TCL, and DCL.
Advanced Querying: Operators, Clauses, Aggregate Functions, Indexes, Views, and Triggers.
Relational Data: Complex JOINS, Sub Queries, and Nested Queries.
Module 6: Amazon Web Services (AWS) Data Engineering
Introduction to Cloud computing models and AWS architecture.
Data Storage: Mastering AWS S3 for secure data lakes.
Big Data & Pipelines: AWS Data Pipeline, AWS Glue (ETL), and EMR (Elastic MapReduce).
Cloud Analytics: Amazon Athena (serverless querying) and Amazon Redshift (data warehousing).
Module 7: Microsoft Azure Data Engineering
Azure Storage: Setting up and managing Azure Data Lake Storage (ADLS Gen2).
Data Integration: Building code-free ETL/ELT pipelines using Azure Data Factory (ADF).
Big Data Analytics: Introduction to Azure Synapse Analytics and distributed processing with Azure Databricks.
Module 8: DevOps, Version Control & Git
Git: Feature branching, cloning, Add, Commit, Push, and Pull requests.
Azure DevOps: Building CI/CD Pipelines, work item sprints, repositories, and state of tasks.
Module 9: Industry Tools & IDEs
Business Intelligence: PowerBI (Dashboards and Application building).
Database Management: DBeaver (Connection processes, DB Manipulation).
IDEs Mastered: Jupyter Notebook, Google Colaboratory, and PyCharm.
Outcome: By the end of Term 2, you will understand how to query massive databases, track your code using DevOps, and architect highly scalable, multi-cloud data pipelines using both AWS and Microsoft Azure.
Term 3 — Big Data Frameworks, AI Integration & Live Projects
In the final term, you scale up your skills to handle “Big Data” using PySpark, learn how to supercharge your engineering workflows with modern Artificial Intelligence, and apply your skills to real-world business case studies.
What You Will Learn in Term 3
Module 10: Big Data Framework (PySpark)
PySpark Fundamentals: Spark Sessions, RDDs, Broadcast Variables, and creating DataFrames with timestamp schemas.
DataFrame Operations: Structure types, structure fields, Parallelize, empty DataFrames, Select, Collect, WithColumn, When, Split, and Row number / dense rank.
Transformations & Actions: Where & Filter, Drop & Drop Duplicate, OrderBy & SortBy, GroupBy, and Complex Joins.
Advanced Functions: Union, union all, union byname, map, flatmap, maptype, Sample by vs. Sample, Pivot, Aggregate Functions, and Windows Functions.
Reading and writing processed data in CSV.
Module 11: AI in Data Engineering
Prompt Engineering for Data: Learning how to write highly effective prompts to generate complex SQL queries, regex rules, and PySpark transformations instantly.
AI-Assisted Coding & Debugging: Using ChatGPT Plus, GitHub Copilot, and Cursor IDE to rapidly write, test, and refactor data pipeline scripts.
Automated Data Cleaning: Leveraging Large Language Models (LLMs) to automatically detect anomalies, format messy text data, and infer database schemas.
Future of Data Workflows: Understanding how AI agents are changing ETL/ELT architecture and how to stay ahead of the curve.
Module 12: Final Projects & Course Wrap-up
Project 1: E-Commerce Domain. Build an end-to-end multi-cloud data pipeline extracting customer behavior data, transforming it using PySpark, and visualizing trends in PowerBI.
Project 2: Banking Domain. Engineer a secure database structure to handle financial transactions, handling missing data, and finding actionable fraud insights.
Outcome: By the end of Term 3, you will have built an impressive, production-ready portfolio of Big Data pipelines, Cloud architectures, and AI-assisted workflows. With our lifetime placement assistance, you will be fully prepared to ace technical interviews for premium Data Engineer and Data Scientist roles.
Hours Live Learning
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Live Projects
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Detailed Course Syllabus & Trainer List
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Book your free demo and see how we make you job-ready.
Who This Course Is For ?
This program is designed for ambitious individuals looking to build future-proof, high-paying careers in Big Data, Artificial Intelligence, and Cloud Architecture.
Students & Freshers
Launch a premium tech career with strong Python fundamentals, real-world AWS/Azure skills, and hands-on AI model training.
Working Professionals
Upgrade from legacy tech or non-data roles into a high-growth Data Engineer or AI/ML position to secure a massive salary hike.
Non-IT Graduates
Transition into the tech industry smoothly. We teach everything from absolute scratch—no prior coding or IT background is required.
Freelancers
Master high-demand skills like automated data pipelines, web scraping, and PowerBI analytics to attract premium international clients.
Career Breakers
Confidently re-enter the workforce. Modern Data and AI skills offer flexible, remote opportunities and incredibly high starting salaries.
Job Seekers
Build an impressive GitHub portfolio of real-world cloud projects and get hired in top tech MNCs with our lifetime placement support.
Tools You’ll Master
Master the modern data stack. You’ll use these exact tools to process live datasets, build cloud pipelines, and deploy real ML models.
Certified Professional Data Science Trainers in India
Learn from ex-MNC Data Scientists, AI Researchers, and analytics experts who solve complex business problems using data every day. They won’t just teach you theory—they will coach you on real-world datasets, teaching battle-tested machine learning algorithms, predictive modeling, and industry-standard data visualization practices. No fluff, just hands-on mentoring that turns you into a job-ready data professional.
Vishal Jadhav
Top Rated
Digital Marketing Trainer
4+ Years IT Experience
5+ Years Freelance Experience
100+ Projects Delivered
4+ Years Teaching Experience
Rohit Panchal
Digital Marketing Trainer
4+ Years IT Experience
3+ Years Teaching Experience
Sapana Rathod
Manual Testing Trainer
5+ Years IT Experience
5+ Years Teaching Experience
Ajay Pandey
Python Trainer
5+ Years IT Experience
5+ Years Teaching Experience
Shripal Jadhav
TOP OTT LEAD
FSD Trainer
12+ Years IT Experience
14+ Years Freelance Experience
100+ Projects Delivered
5+ Years Teaching Experience
Shrinivas Dodke
Data Science Trainer
4+ Years IT Experience
4+ Years Teaching Experience
Aman Shrivastav
Project Trainer
7+ Years IT Experience
5+ Years Teaching Experience
Arjun Rathod
Administrative Officer
2+ Years Management Experience
2+ Years Counseling Experience
Our Learners Work At
Data Science Career Scope
Job Opportunities After Data Science Course in India
Launch your career with our industry-oriented Data Science training. Because we teach a hardcore Data Engineering & AI curriculum alongside core analytics, you will be uniquely qualified for both architectural and analytical roles. Master Python, AWS, Azure, PySpark, and Machine Learning through hands-on projects. With lifetime placement assistance, you’ll be job-ready across Data Engineering, Big Data, and Data Science, targeting ₹5–15 LPA entry-level CTCs.
01
Data Engineer
Build and maintain scalable cloud data pipelines
- What you do: Design architecture for data storage and ensure smooth ETL processes on AWS & Azure.
- Skills: SQL, Cloud Computing, ETL, PySpark
- Tools: AWS S3, Azure Data Factory, Python
- Salary: ₹6–14 LPA
- Career Path: Data Engineer → Cloud Architect → VP of Engineering
Top companies hiring:
Cloud Providers
SaaS
Banking
Consulting
02
Cloud Data Architect
Design multi-cloud infrastructure for enterprise data.
- What you do: Architect and secure large-scale database systems on AWS and Azure.
- Skills: System Design, Multi-Cloud Strategy, Security.
- Tools: AWS Glue, Azure Synapse, Docker.
- Salary: ₹8–18 LPA
- Career Path: Data Architect → Principal Architect → CTO
Top companies hiring:
Tech MNCs
FinTech
Telecom
Healthcare
03
ETL Developer
Extract, transform, and load massive datasets.
- What you do: Write scripts to clean, move, and organize data for analytical tools.
- Skills: Data Integration, Scripting, Database Management.
- Tools: Python, SQL, Apache Airflow.
- Salary: ₹5–10 LPA
- Career Path: ETL Developer → Senior Data Engineer → Data Lead
Top companies hiring:
Retail
E-commerce
Marketing Agencies
Media
04
PySpark Developer
Process massive datasets using distributed frameworks.
- What you do: Write high-speed scripts to process, analyze, and aggregate millions of rows of data.
- Skills: Distributed Computing, Data Streaming, Python.
- Tools: PySpark, AWS EMR, Databricks.
- Salary: ₹6–15 LPA
- Career Path: Big Data Developer → Big Data Architect → Head of Data
Top companies hiring:
Social Media
Logistics
AI Startups
Streaming Platforms
05
Database Administrator (DBA)
Ensure databases run smoothly and securely.
- What you do: Manage, backup, and optimize the performance of relational databases.
- Skills: Query Optimization, Security, Backup Recovery.
- Tools: MySQL, PostgreSQL, DBeaver.
- Salary: ₹4–9 LPA
- Career Path: DBA → Senior Database Engineer → Infrastructure Manager
Top companies hiring:
Government
IT Services
Banking
Manufacturing
06
Machine Learning Ops (MLOps)
Deploy AI/ML models into scalable production.
- What you do: Bridge the gap between data science models and actual software architecture.
- Skills: Model Deployment, CI/CD, Containerization.
- Tools: Kubernetes, Jenkins, Azure DevOps.
- Salary: ₹7–16 LPA
- Career Path: MLOps Engineer → AI Architect → VP of AI
Top companies hiring:
AI Labs
Automotive
Big Tech
AI Startups
Frequently Asked Questions About Advanced Digital Marketing Course
What is this Data Science with AI Course by Skillturn?
It is a premium, highly intensive training program designed to make you a “Full-Stack Data Professional.” Unlike standard analytics courses, we combine hardcore Data Engineering (AWS, Azure, PySpark, SQL) with advanced Data Science and AI tools, ensuring you can both build scalable cloud data infrastructure and analyze it.
Who should join this Data Science and AI course?
This course is perfect for college freshers, IT professionals looking to upskill, and non-technical professionals who want to pivot into the high-paying tech industry. If you want to future-proof your career by mastering data architecture and machine learning, this program is for you.
Do I need any technical or coding background to join?
No prior coding or IT experience is required! The curriculum is completely beginner-friendly. Term 1 is entirely dedicated to building your foundation in core Python programming and logical thinking from scratch before we advance to complex databases, cloud architecture, and AI.
Is the data science course online or offline?
We offer flexible batch options to suit your learning style. You can choose between live interactive online sessions or our offline classroom training. Both formats follow our signature “Work-Along” methodology with live datasets and 1:1 mentorship from industry experts.
Does Skillturn provide placement assistance?
Yes, we provide 100% Lifetime Placement Assistance. Our dedicated placement cell will help you build an ATS-friendly tech resume, optimize your GitHub portfolio, and conduct rigorous mock interviews. We continuously schedule real job interviews with our 400+ hiring partners until you are officially hired.
What job roles can I apply for after completing this course?
Because you are learning both Data Science and Data Engineering, your career scope is massive. You will be highly qualified for roles like Data Engineer, Data Scientist, Data Analyst, Big Data Developer, Cloud Data Architect, and AI/ML Engineer, targeting entry-level CTCs of ₹5–15 LPA.
What is the duration of the data science with AI course?
The course spans across 4 to 6 months of intensive training. This includes over 100+ hours of live classes, 50+ hours of video learning, 1-on-1 mentoring sessions, and 2+ hands-on capstone projects like Banking Fraud Detection and E-Commerce Cloud pipelines.
Will I receive a certificate after completion?
Yes! Upon successful completion, you will receive an industry-recognized Data Science with AI certification from Skillturn. Additionally, our curriculum is designed to prepare you for 3+ globally recognized certifications from top tech entities like AWS and Microsoft. t&c applied.
Will I learn how to use AI in this course?
Absolutely. We have a dedicated module on AI in Data Engineering. You will learn how to leverage Prompt Engineering and tools like ChatGPT Plus, GitHub Copilot, and Cursor IDE to automate data cleaning, write complex PySpark/SQL scripts instantly, and deploy pipelines faster.
Can I attend a demo before paying the fees?
Yes! We offer a ₹0 Upfront Fee structure. You can book your seat and attend our 5-Day Free Demo classes. You only pay the course fees when you are 100% satisfied with our teaching methodology. We also offer flexible 0% EMI options so you can focus entirely on your learning.
Start Date: 04 Apr 2026
Launch Your Career in Data Science & AI
Enrollment Ends In:
Almost Full! Only 3 seats left in this batch.
90% FILLED
100%
- Lifetime Placement Support until you get hired.
- Core Skills: Master Python, Machine Learning & Deep Learning.
- Real-World Portfolio: Build predictive AI models from scratch.
- Learn from Ex-Googlers & top industry experts.
- ₹0 Upfront Fees — Pay after your 5-Day Free Demo.
Rated 4.8/5 by 1,000+ Placed Learners
Book Your Free Demo
Book your free demo and see how we make you job-ready.
