In this Susan recommends https://www.khanacademy.org/, which is good for most things learned in primary or secondary school.
There is an open source curriculum equivalent for an undergrad compromised of MOOC and similar resources [1]
Similar to the above is a markdown [2], with a scope directed towards people coming from a CS background.
After this perhaps focus more on statistics & data science for metric interpretation. R for Data Science [3] is an option.
[0] https://www.susanrigetti.com/math
[1] https://github.com/ossu/math
[2] https://github.com/NavigoLearn/RoadmapsMarkdown/blob/master/... for computer science/full-roadmap.md
[3] https://r4ds.hadley.nz/
This book has nothing to do with statistics or mathematics, it's a guide for how to use specific R libraries.
This book has nothing to do with statistics or mathematics, it's a guide for how to use specific R libraries.