Starting off

📃 Cassie Kozyrkov | Statistics: The Complete Mini Course: some journeys of where to explore statistics, from people who want the high-level ideas to those who want to want to go more advanced in statistics.
🕸 Seeing Theory: highly interactive introduction to statistics concepts. A corresponding book is also in the works.
📘 OpenIntro Statistics
📘 All of Statistics

Other topics

📃 The permutation test: A visual explanation of statistical testing: visual introduction to how permutation tests are calculated.
📃 Common statistical tests are linear models (or: how to teach stats): There are 100s of statistical tests and this shows how to link those to linear models. ⛓️🧠 This comes with code snippets and is recommended for people with advanced stats knowledge.
📁 Harvard CS109b | Bayesian Analysis: Harvard lab on Bayesian analysis with notebooks written with PyMC3, e.g. basics of Bayes rule to hierarchical models.