Learn Python for Data Engineering
Build the moving parts of a data pipeline from the standard library up. Built for data engineers and analysts building pipelines. You write real Python, run it in the browser, and watch it pass. No installs, no toy apps, no lectures.
11 projects, 275 hands-on levels, first project free.
Problems you will solve
- parse and validate a data feed
- build an ETL transform step
- window and aggregate a stream
By the end you can move and shape data reliably.
What you will build
- Foundations: code through data engineering
- Ingestion & Parsing
- Cleaning & Validation
- Transformations & Joins
- Big-Data Algorithms
- File Formats & Encoding
- MapReduce & Partitioning
- Stream Processing
- Pipelines & Orchestration
- A Mini Query Engine
- Capstone: A Mini Warehouse ETL
Start the Data Engineering track free.
Frequently asked questions
Do I need to know how to code to start Data Engineering?
No. The Data Engineering track starts from the fundamentals and builds up, and the first project is free.
Do I need to install anything?
No. Every level runs in your browser and is graded the moment your code works. No Python install, no setup.
What language will I write?
Python. You write real Python, run it, and get instant feedback across 275 hands-on levels.
Is it free to start?
Yes. The first project is free with no card. Unlimited access to all 33 tracks is $12 a month or $100 a year.