All Python Academy courses

From your first variable to a backend and analytics on real data — interactive courses with auto-checking right in the browser. A free foundation (types, loops, functions, collections), then your choice of track: backend with FastAPI or product analytics.

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The free basics course lays the foundation: variables, conditions, loops, functions, collections. Without it, any advanced course and any interview will be harder than they need to be.

Python Basics

Free

Python

~30 hours

An interactive course from scratch. You write code right in the browser and your solution is checked automatically. Data types, conditions, loops, functions, collections — everything you need to write Python confidently and pass the basics section of an interview.

Confidently solve algorithmic tasks — loops, collections and functions on autopilot
Read and write code in real projects without constantly checking the docs
Ready to move on to backend or analytics — the foundation is already there

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Ready to level up?

For those already fluent in Python

Once the free course clicks, you write Python with confidence. Where to go next is up to you: backend, data science, or DevOps. Each advanced course is built around one real project from start to finish — not isolated exercises, but something you can put on your resume.

Backend on FastAPI from scratch

Premium

FastAPI

15 hours

From an empty folder to a public HTTPS URL for your own API. Not another hello-world — a real backend with HTTP, PostgreSQL, JWT auth, tests, and auto-deploy on one live project you can put on your resume.

An API with PostgreSQL, Alembic migrations, and Swagger docs out of the box
Registration, JWT tokens, and endpoints isolated from other users' data
Tests with transaction rollback, a Docker container, and auto-deploy to free hosting

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Product analytics with Python

Premium

Pandas

20 hours

Monday, first day at a new company. The PM pings you: "Repeat purchases dropped over the last 3 months, figure out why". 26 lessons walk an end-to-end investigation on e-commerce data — from a first look at CSV to a completed A/B test and a report for the leadership.

Pandas in context: metrics, cohorts, funnels, retention and LTV
A/B testing from noise and p-values to the common pitfalls: peeking, sample ratio mismatch, the survivor trap
Interactive widgets in the browser: retention matrix, funnel builder, split simulator, peeking animation

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All advanced courses are included inpremium— together with AI hints, certificates, and other features.