The most in-demand programming language for data work. Go from zero to writing production-ready Python scripts — covering Pandas, NumPy, data visualisation, and exploratory analysis.
A hands-on 40-hour program (20 sessions) — from Python basics to statistics, Pandas, and PySpark, with a live project. Click any module to expand.
Set up your environment and master core Python — from installation to strings, slicing, and operators.
Lists, tuples, dictionaries and sets, plus every loop and comprehension you'll use daily.
Write reusable code with functions and decorators, then move into object-oriented Python.
The statistics every analyst needs — applied hands-on with Python and NumPy.
Read and write files, handle exceptions cleanly, and connect Python to SQL Server.
The core data-analysis stack — arrays, DataFrames, and charts that communicate.
Scale to Big Data with PySpark, ship a live project, and manage your code with Git.
Industry-standard libraries used in every analytics and data science team.
No prior coding experience required — this course was built to take you from zero to job-ready.
Python skills unlock a wide range of analyst and data science roles across India's top employers.
From non-technical backgrounds to Python analyst roles — real transformations from this exact course.
Python was intimidating before I joined — Pandas and NumPy seemed like rocket science. After 8 weeks here, I was writing EDA scripts from scratch. Got placed at TCS within 2 months of completing.
The Pandas module was a game-changer. I moved from spending hours in Excel to cleaning 50,000-row datasets in minutes. Practical, industry-focused teaching.
The visualisation module was brilliant. Seaborn charts I built during the course directly appeared in my interview presentation. Faculty explained every concept twice.
Completely non-technical background — B.Com graduate. The faculty were patient and the project on customer sales analysis gave me a real portfolio piece for interviews.
No prior coding needed. Book a free demo and write your first Pandas script in class — on us.