How much physics is enough for a person working in computational statistics?

I am self taught statistician and have been working for a few years in computational statistics where i develop many R packages for different kind of subjects such as stochastic processes/GLM/bayesian.

However so far i have managed to avoid physics as much as possible. Recently though i had to start learning about what the hell is ising model... which is again related to magnetism.

i think i have to start all over again and learn some physics. I also need to study statistical mechanics which involves physics. I am wondering where should i start learning? how much physics is enough?

I found these two courses, are they enough? I want to learn all the basic fundamentals, so much so that if anything new pops up i can learn it relatively quickly and implement things. Please help! Any other course recommendation is also welcome!

https://www.youtube.com/watch?v=Jd28pdSmnWU&list=PLMZPbQXg9nt5Tzs8_LBgswgzRcHQtXDxs

https://www.youtube.com/watch?v=J-h-h-writo&list=PLMZPbQXg9nt5V6t-dX93TCriDgzDKCcAr