u/JerryChen06

Beyond just the Normal and Multinomial distributions, what are some extremely important distributions that you frequently come across / work with when doing statistics? Any that are just really cool?

In my coursework I've run across the Beta and Gamma distributions and they seem quite important, but I'm not sure which distributions I should really get to know for when I will conduct actual analyses/make models.

Any input is appreciated!

For context, I have a bit of experience with data analysis in R (mostly data tidying and visualization with minimal statistical analysis), and I am currently building a strong theoretical background for statistics through undergraduate coursework and textbooks (however, the courses I'm taking focus on theory and computation, not much application through R)

That being said, do you know any good resources for efficiently learning R with a focus in applying statistical theory? A focus in hypothesis testing, linear regression, and statistical learning would be great. My goal is to have a sense of how statistical methods are applied in practice, and to get a better holistic understanding of the theory.

Any tips in general regarding this are also appreciated. Thank you so much!