cross-posted from: https://programming.dev/post/6942085
Book (Free)
The resource on statistical methods recommended to me the most has been An Introduction to Statistical Learning (with Applications in R or Python) by Gareth James, Daniela Witten, Trevor Hastie, Rob Tibshirani, and Jonathan Taylor. Its free to download and has been kept up to date. (The latest edition is from 2022.)
Online Course (Free with optional payment for “Verified Track”)
For those that prefer a structured online course StanfordOnline: Statistical Learning with R by Trevor Hastie and Robert Tibshirani uses An Introduction to Statistical Learning (with Applications in R) as the course textbook.
More In-Depth Book
Individuals with advanced training in the mathematical sciences may wish to use The Elements of Statistical Learning (Data Mining, Inference, and Prediction) by Trevor Hastie, Robert Tibshirani, and Jerome Friedman which provides a more comprehensive and detailed treatment of a wider range topics in statistical learning.
Isn’t edx that rebranded company that everyone agreed was either terrible or sometimes predatory?
No.
edX is the company that started at MIT and partnered with a bunch of well respected schools and professors to offer their courses online and then went public and changed the free offering to be much more annoyingly time limited for each course to try to get more people to pay. (They should have just lowered the price because it didn’t seem to improve their revenue and now people like me tend not to recommend it over other options the way I used to.) The course material is still very high quality.
There are a few others that could fit your description so I’m not sure which you were thinking about.
