GFG's Python catalogue isn't one course — it's a track of seven, each pointing at a different career outcome. The June 2026 sale gets the three most-bought ones below Rs. 2,499. Here's how to pick the right one and not waste money on overlap.
The coupon applies at checkout. Bank EMI extends beyond that with no-cost options on Rs. 1,499+ courses.
Python Foundation Self-Paced is Rs. 799-999 after sale. It covers syntax, data structures, OOP, file handling, basic library usage. About 40 hours of content — finishable in 4-5 weeks with daily effort. Good if you've never written Python; redundant if you've used it casually for 6+ months.
Rs. 1,799-2,499 after sale. Covers NumPy, Pandas, Matplotlib, Seaborn, basic Scikit-learn. Targets data analyst and entry data scientist roles. About 80 hours, 8-10 weeks of evenings. Lighter on ML theory than Andrew Ng's Coursera but heavier on practical pandas work.
Rs. 1,999-2,499 after sale. Full backend stack — Django framework, REST APIs, PostgreSQL, deployment basics. About 60 hours of content. Best for someone aiming at web-backend dev roles. Doesn't deeply cover async, websockets or microservices — that's the gap to be aware of.
Python for Automation is Rs. 799-1,299 after sale. Lighter than Foundation, focused on practical scripts — web scraping, file processing, scheduled jobs. Best as a 2-week add-on after Foundation.
The strongest deal of the sale is Python Foundation + Python for Data Science bundled. Standard prices total about Rs. 6,500. Sale + ZOUTONS50 brings them under Rs. 4,000. That's the Rs. 2,500 savings the headline references.
Free options — Real Python tutorials, official docs, YouTube playlists — cover the same material if you're disciplined. GFG buys you structure, hand-checked assignments and a certificate. Worth it for early-career learners; less so for self-taught engineers who just need a refresher.
Python Foundation. Skip Data Science or Backend tracks until you've finished Foundation or have equivalent self-taught experience.
For an entry analyst role, yes — with daily portfolio projects on top. For data scientist roles, you'll also need stronger ML theory than the GFG track provides.
Lightly. The course focuses on Django; FastAPI gets one introductory module. For async-heavy backend work, supplement with the FastAPI official tutorial.
Self-paced courses are independent. You can buy multiple and consume in any order. Live courses follow batch schedules and are harder to swap.
Yes — updated for Python 3.11+. Walrus operator, match statements, type hints all covered in Foundation.
Yes — the GFG certificates import to LinkedIn's Licenses & Certifications section. Whether recruiters weight them depends on the role tier.