Data Science
Turn data into decisions with SQL, machine learning, BI dashboards, big data and GenAI.
- Duration
- 12 or 24 weeks
- Classes
- Live online
- Learner rating
- 4.7/5
- Format
- 30% Concepts + 70% Hands-On & Real-World Projects
Our learners work at
Who is this for?
- College students in their 1st, 2nd, 3rd or 4th year
- Recent graduates starting a career in tech
- Anyone moving into tech from another career
- Working professionals who want to add AI, data or full stack skills to their current role
- Developers who want to move from using AI to building it
What will you learn?
- Python
- SQL
- Snowflake
- Power BI
- Streamlit
- FastAPI
- MLflow
- Airflow
- PySpark
Roles you can aim for
- Data Scientist
- Data Analyst
- Analytics Engineer
- AI/Data Product Developer
What makes this program different
- Code-First, Zero-Math Proofs Approach focused on real-world delivery
- End-to-End Enterprise Data Stack (SQL + Python + PySpark + ML + LLMs + Power BI)
- Modern Industry Use Cases (Customer Churn, Real-Time RAG Agents, Spark Pipelines, A/B Testing)
- Production Data Application Engineering (FastAPI, Streamlit, Docker, MLflow)
- Cloud Scale & Orchestration (BigQuery/Snowflake, Airflow, Vector Databases)
Curriculum and projects
Choose your track
| Month | Focus | Outcome |
|---|---|---|
| Month 1 | Data Wrangling, SQL & EDA | Clean, transform, and extract insights from complex enterprise data |
| Month 2 | Applied Machine Learning & Predictive Analytics | Build, tune, and evaluate predictive classification and regression models |
| Month 3 | BI Dashboards, Production Deployment & Capstone | Build interactive dashboards and deploy end-to-end data products |
Month 1
- Focus
- Data Wrangling, SQL & EDA
- Outcome
- Clean, transform, and extract insights from complex enterprise data
Month 2
- Focus
- Applied Machine Learning & Predictive Analytics
- Outcome
- Build, tune, and evaluate predictive classification and regression models
Month 3
- Focus
- BI Dashboards, Production Deployment & Capstone
- Outcome
- Build interactive dashboards and deploy end-to-end data products
| Month | Focus | Outcome |
|---|---|---|
| Month 1 | Data Wrangling, Advanced SQL & EDA | Clean, transform, and extract structural insights from complex data |
| Month 2 | Applied Machine Learning & Predictive Modeling | Build, tune, and evaluate classical regression and tree-based systems |
| Month 3 | Customer Segmentation, Time Series & BI Dashboards | Model customer behavior, forecast trends, and build Power BI/Tableau reports |
| Month 3 Project | Milestone Capstone I: Mid-Program Enterprise Product | End-to-end analytical pipeline, ML prediction, and BI visualization dashboard |
| Month 4 | Advanced Production ML & MLOps Infrastructure | Model tracking, registries, containerization, and enterprise APIs |
| Month 5 | Large-Scale Data Engineering & Cloud Data Platforms | Distributed data processing with PySpark, cloud data warehouses, and orchestration |
| Month 6 | Generative AI, LLMs for Data Science & Advanced Systems | Fine-tuning, RAG architectures, vector databases, and system scaling |
| Month 6 Project | Final Capstone: Production-Grade AI & Data System | Enterprise cloud deployment with automated ingestion, containerization, and LLM integration |
Month 1
- Focus
- Data Wrangling, Advanced SQL & EDA
- Outcome
- Clean, transform, and extract structural insights from complex data
Month 2
- Focus
- Applied Machine Learning & Predictive Modeling
- Outcome
- Build, tune, and evaluate classical regression and tree-based systems
Month 3
- Focus
- Customer Segmentation, Time Series & BI Dashboards
- Outcome
- Model customer behavior, forecast trends, and build Power BI/Tableau reports
Month 3 Project
- Focus
- Milestone Capstone I: Mid-Program Enterprise Product
- Outcome
- End-to-end analytical pipeline, ML prediction, and BI visualization dashboard
Month 4
- Focus
- Advanced Production ML & MLOps Infrastructure
- Outcome
- Model tracking, registries, containerization, and enterprise APIs
Month 5
- Focus
- Large-Scale Data Engineering & Cloud Data Platforms
- Outcome
- Distributed data processing with PySpark, cloud data warehouses, and orchestration
Month 6
- Focus
- Generative AI, LLMs for Data Science & Advanced Systems
- Outcome
- Fine-tuning, RAG architectures, vector databases, and system scaling
Month 6 Project
- Focus
- Final Capstone: Production-Grade AI & Data System
- Outcome
- Enterprise cloud deployment with automated ingestion, containerization, and LLM integration
Projects and capstones
Part 1: Month 3 Projects (Intermediate Data Science & BI)
- E-Commerce Customer Churn Prediction & Retention Dashboard
- Dynamic Pricing & Demand Forecasting Engine
- Retail Inventory & Supply Chain Optimization System
Part 2: Month 6 Projects (Advanced Engineering, Big Data & Generative AI)
- Enterprise Internal Knowledge QA Agent (RAG System with LLMs)
- Scalable Real-Time Clickstream & User Behavior Pipeline with PySpark
- End-to-End MLOps Pipeline with Automated Drift Detection & Retraining
Fees and enrollment
12 Weeks Foundations
12 weeks (3 months)
- Program fee
- ₹50,000
- Early bird offer
- – ₹15,000
- You pay
- ₹35,000
24 Weeks Advanced
24 weeks (6 months)
- Program fee
- ₹70,000
- Early bird offer
- – ₹21,000
- You pay
- ₹49,000
Advanced 3 months
Already finished 12 Weeks Foundations? Continue with the advanced half of the program.
- Program fee
- ₹50,000
- Early bird offer
- – ₹15,000
- You pay
- ₹35,000
Save ₹21,000 with 24 Weeks Advanced
Foundations and Advanced bought separately cost ₹70,000. The full 24 weeks costs ₹49,000, so you save ₹21,000.
Common questions
How much do the programs cost?
Each program page shows the Program fee, the Early bird offer and the amount You pay.
What payment options are available?
You can pay through UPI, and EMI options are also available. After you click Enroll now, our team shares the payment details with you on WhatsApp.
How do I enroll?
Choose your program and track, then click Enroll now. Share your name, phone number and email, and continue on WhatsApp, where our team shares the payment details and the next steps.
What is your refund policy?
If you cancel within 7 days of your cohort's start date, you receive a pro-rata refund. Please read our Refund & Cancellation Policy for the full details.
Can I move to a later batch?
Yes. You can transfer to a later batch once.
See a class before you decide
Join the free demo for this program on Saturday at 7:00 PM (IST).
From ₹35,000
View fees