Free programmes
Enroll in one track, follow its syllabus milestone by milestone, and finish it before starting the next. New to code? Start with Python Essentials: everything else builds on it.
Beginner · no experience needed
Start from zero and learn the whole language: values, control flow, every built-in collection, functions in depth, generators, files, the standard library, object-oriented programming and professional habits. It's the foundation the Data Science, Data Engineering and AI & ML tracks all build on.
44 labs · 3 projects · 11 modules
Intermediate · after Python Essentials
Clean and join messy records, measure uncertainty honestly, run experiments, and work in the tools teams actually use — Excel, SQL, survey data and maps — ending with an investigation of real World Bank data.
30 labs · 5 projects · 7 modules
Intermediate · after Python Essentials
Build the systems that move and model data: file formats and SQL, pipelines with Airflow-style DAGs and dbt, data quality and testing, warehouses, star schemas and streaming. It ends with an end-to-end mobile-money pipeline.
21 labs · 5 projects · 5 modules
Advanced · after Python Essentials
From your first straight-line model to neural networks, language models and responsible deployment — every concept built, run, and tested by you.
48 labs · 6 projects · 11 modules