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by claytonjy 3406 days ago
I completely agree; I've found it much harder to self-learn the stats than the software side of things. Sibling post makes a good point, but I think the history of stats vs. comp sci bears weight here too; having many people want to learn stats outside academia is a much newer phenomenon than people doing the same with programming.

Anyone have any good resources for self-teaching stats? I have a BS in math but only took one stats course, and it was as terrible as all intro-stats classes are. I have a strong, proof-based understanding of probability theory, but haven't found a similar approach to stats. It all seems to be "if data looks like this, use this test, watch for these pitfalls" which is terrible for building intuition.

2 comments

Try the Khan Academy stats resources - https://www.khanacademy.org/math/statistics-probability

Datacamp also launched a bunch of new stats courses recently. I haven't checked them out yet, but their courses are usually good quality. https://www.datacamp.com/courses/topic:probablity_and_statis...

If you like proofs and rigor, take a look at "Statistical Inference" by Casella and Berger.