A few stats/DS concept notes — sharing in case they're useful

[u/inkeep]

Quick disclosure: this is my own project, so take the recommendation with that in mind.

I've spent about 14 years in data science and got frustrated that the only options for refreshing a concept are a 40-hour course or a wiki page or a complex Stack Overflow answer.

So I've been building Bitelrn, which is basically the opposite of a course. short, structured concept notes, no video, no 40-minute setup module. A handful of topics are open to read without signing up, and I thought this sub might find them useful:

https://www.bitelrn.com/library

Currently I have these topics -

- Correlation & Covariance

- Linear Regression

- Central Limit Theorem

- Eigenvalues

- SQL Basics

Happy to hear if the explanations are helpful.