STAT 3250

This class with James Lee is the exact same class as with Holt but Holt wrote all of the assignments so Lee is not as helpful with answering specific questions related to the homework. This course is flipped classroom so there are recorded lectures to watch and then weekly python assignments due every Wednesday. If you have no questions or issues with the homework then there is no reason to go to class. Basically, you teach it to yourself especially if you come in with python knowledge it is very easy to figure out on your own. This would be a hard class without having a data science/python/coding background. I learned a lot about pandas and the different tools available. You can go to Lee's or Holt's sections (at least for fall 2022) to ask questions and there is separate office hours. There are no exams in this course!

Let me start off by saying that I love James Lee. Even though he's a grad student, he knows more than most of the stats professors and he's still very nice. A wizard. The class, however, was not fun. This course is all about getting used to Python and it really has very little stats in it. We did one week on using statistical modeling packages but it was more about the syntax in Python than the actual model itself. The entire grade is based on 13 homeworks (previous years had 14 with one drop.. we did not) that are graded automatically in Gradescope. For the first few assignments, your grade is just published with your submission, so you know how you did. But after a couple weeks, they started hiding our grades. So there was really know way to know what your grade was or what you should change. Our class had a really difficult time with this and they ended up publishing the grades again for the last two assignments. No in-person lecture, all the teaching is done via recorded lectures with an attached script. The lecture block is used for office hours. All in all, the class is definitely useful and I think it certainly helped my python skills. But it was really annoying.