Introduction to Statistics in Python

Over four hands-on chapters you compute summary statistics, reason about probability and the common distributions, and meet the basics of correlation and experimental design — all written in Python rather than described in the abstract. It assumes you already know some Python, so it's a poor first step if you don't, and too applied if you want deep statistical theory. It's on DataCamp's subscription (about $14/month billed annually, first chapter free to sample), with a completion certificate that's a learning record, not an accredited one. Statistical fundamentals like these stay put (as of 2026).

Introduction to Statistics in Python bridges coding and analysis. Over four hands-on chapters you compute summary statistics, reason about probability and common distributions, and learn the basics of correlation and experimental design — all in Python so the maths stays practical.