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If anyone wants to get more into Bayesian stats, I will always recommend Statistical Rethinking by Richard McElreath. Maybe my all time favorite text book. He has an accompanying youtube lecture series as well.

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I thought the book was so-so, but I find his lectures excellent. His second “season” of lectures has some amazing visualizations.

I've never seen a "theatrical trailer" for a lecture series before: https://youtu.be/BYUykHScxj8

What prerequisite in math do you need to understand it? Calc/linear algebra sufficient?

Really just Algebra II from high school, and Calc I if you want to go deeper. In all honesty if you have a solid handle on Algebra II and some intuition with geometry there is nothing in all of higher math that will be beyond your reach.

If you're looking for some Bayesian Stats books that require very little math/stats, I'd recommend starting with these two:

Think Bayes by Allen Downey:https://allendowney.github.io/ThinkBayes2/

Bayesian Methods for Hackers by Cam Davidson-Pilon: https://dataorigami.net/Probabilistic-Programming-and-Bayesi...

They're both an excellent warm up for Statistical Rethinking.

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