Statistics

Josh Starmer’s short, friendly videos on distributions, testing, regression, and ML stats. Great when you want plain language first and equations second.

Fast, narrative overview of collecting data, experimental design, inference, and common pitfalls. A good on-ramp before heavier courses.

Full MIT lecture series on the theory behind common statistical methods: likelihood, testing, Bayes, GLMs, and more. More mathematical than StatQuest.

OCW materials bridging probability and statistics: inference, regression, and applications. Useful if you want stats grounded in probability theory.

Structured units with exercises from descriptive stats through inference. Handy for drilling skills and filling holes at your own pace.

A full free textbook with exercises and online resources. Solid reference to pair with videos when you want definitions and worked examples in one place.