Python for Data Science & Machine Learning Program
Master Python for Data Science, Machine Learning & AI from Scratch
Learn Python through hands-on coding, real business datasets and practical Data Science, Machine Learning & AI projects used in industry.
Learn Python from Scratch
Build Real Data Science & ML Applications
No Prior Coding Experience Required
2 Months Program
Duration
Beginner Friendly
Technical & Non-Technical
16 Hours
Live Classes
Coding Projects
Business Datasets
Career Ready Skills
Career Advantage
⭐ Learn Directly from a Former Chief Data Officer
⭐ 700+ Career Transformations Across India & Abroad
⭐ 19+ Years of Global Industry Leadership
⭐ Placement Assistance + Post-Placement Job Support
13 Months
13 Months
13 Months
13 Months
Your Career Transformation Starts Here
Everything you need to confidently transition into a high-growth Data Science, Machine Learning & AI career.
Your Python Journey to Industry Data Science Starts Here
Learn structured Python coding, industry feature engineering and ML deployment techniques used by enterprise Data Science teams.
Think Like a Data Scientist
Learn how to solve business problems before writing code.
Build Industry Python Solutions
Create scalable feature engineering pipelines using real business datasets.
Deploy Production-Ready Models
Build FastAPI applications and serve ML models confidently.
Why Professionals Choose This Program
Learn Industry Python Frameworks
Learn the structured coding methodology developed from 19+ years of enterprise Data Science leadership.
Real Business Case Studies
Work on Banking, Lending, Insurance and Retail datasets exactly like industry teams.
Feature Engineering at Scale
Create thousands of ML features using reusable industry-grade Python architecture.
FastAPI & ML Deployment
Deploy machine learning solutions using production-ready APIs.
Who Should Join?
This Program is Ideal for
Working Professionals
Engineers
Software Developers
Analysts
Freshers
Career Switchers
No prior coding experience required.
This program teaches Python from the ground up and gradually prepares you for real-world Data Science, Machine Learning and AI projects.
Curriculum Overview
Designed in consultation with real industry hiring requirements.
Module 1: Python Fundamentals for Data Science
Module 2: Industry Data Modeling & Dataset Structures
Module 3: The 8 Pillars of Structured Python Coding
Module 4: Feature Engineering Using Industry Datasets
Module 5: Large-Scale ML Feature Creation
Module 6: FastAPI & ML Model Deployment
Module 7: End-to-End Industry Python Case Study
Module 8: Debugging Framework & Industry Best Practices
Our Exclusive 8-Pillars Python Framework
Learn Python the way enterprise Data Science teams actually build Machine Learning solutions.
01
Think Granularity
Customer • Account • Transaction Level
02
Design Output
Flags • Ratios • Aggregates • Features
03
Write Pseudo Code
Solve the Business Problem before Coding
04
Convert to Python
Pandas • GroupBy • Loops • Conditions
05
Create Functions
Reusable Enterprise-Grade Code
06
Automate with Loops
Run across customers, products and time windows
07
Build Final Outputs
Merge, Concatenate & Feature Engineering
08
Structured Debugging
Find errors faster using Industry Methodology
Build a strong foundation first, then scale your coding like an enterprise Data Scientist.
Industry Projects You will Build
Flattening COVID Infection & Death
Analyze COVID trends and build structured Python-based analytical solutions from real-world data.
Lifetime Value Calculation in MSME Banking
Calculate customer lifetime value and build customer-level features for banking analytics.
RFM Segmentation in E-Commerce
Segment customers using Recency, Frequency & Monetary analysis to drive targeted business decisions.
Bureau History Feature Engineering
Create DPD, delinquency, behavioural and time-window features from bureau history data.
...and many more!
What You'll Learn?
Industry Dataset Structures
Fact & Dimension Modelling
Feature Engineering
GroupBy Mastery
Modular Python Functions
Structured Debugging
FastAPI Deployment
Enterprise ML Coding
Mansi Jain
Previous Role: Sales Manager
Current Role: AVP Data Science
Salary Growth: 3.5X
700+ Career Transformations And Counting
Designed in consultation with real industry hiring requirements.
Sachin Sapkale
Previous Role: Mechanical Engineer
Current Role: Lead ML Expert
Salary Growth: 4X
Devang Bhatt
Previous Role: Senior Operations Manager
Current Role: VP, Banking Analytics
Salary Growth: 6X