>>12966795Fair warning before I continue, I am a senior undergrad at my university, and a lot of the things I have/will say are things I have learned myself, from peers, and from instructors and others in the statistics industry (I do not work in stats, but I am close friends with our department's lead biostatistician, who did non-biostats before coming here). YMMV.
>i was planning on taking applied stats & prob I, II I want to say that the probability courses would be more important if you were going to look at statistics from a theoretical POV. I can't say with certainty whether or not they would be important for a non-research math/stats position. The topics you learn in probability courses (ranging from basic combinatorics to random variables and their densities/distributions, random walks, Monte Carlo, etc.) come up again and again in making the statistics work, but from someone who might be doing more analysis or data science-esque work, you may be better off using those elective spaces for other courses. I suggest asking the professor teaching those courses, or someone else in the department what they think.
>are these other classes mandatory if I expect my stats classes to carry some weightWhen I spoke to the biostatistician in my department (I asked him what he took, what he wished he took, what he thought was a waste, etc.) he said that any course on experiment design is great, because normally they do a better job of showing you what to expect in possible real-world scenarios. We have discussed things such as block and fractional factorial designs, which are things he uses daily, so I would say that class would be very useful if you could get it under your belt, same with the regression analysis.
inb4 reddit spacing, but what is your goal after you graduate? Are there any particular fields you are interested in pursuing? This could help you focus on what software/tools/methods to learn, or steer you towards some electives
