This class wasn't too bad overall. The only thing that sucked about this class was that he gave out a lot of homework and that burnt me out pretty early on. The homework isn't too difficult either, it's just reading and completing activities through CourseKata but it can be a lot and feel tedious at times. Professor is also generous with grading. Homework is graded based on completion and you also earn participation credit by completing weekly Jupyter notebooks, which provides a nice boost to your grade. He also offers extra credit at the beginning and end of the quarter. He also has two grading schemes, one of them counts homework and participation as 35% of your grade!

With exams, we had no midterms just 4 quizzes (2 of them were take home quizzes) and an optional final. His quizzes are similar to the weekly Jupyter notebooks so if you understand those, you should be fine. He also had quizzes/tests be open note just in case you forget a command.

Overall Professor Roberts and the TAs were cool and understanding and really took in student feedback (and actually listened to it). This is a good class to take if you want to explore data analytics but I wouldn't recommend taking this class if you're already taking on a heavy courseload because there's times where this class can overwhelming. I personally came out of this being more interested in a career in data analytics even though I'm a north campus major and don't really like numbers

Professor Tyson is a very kind professor and I enjoyed this class. The class consisted of homework, which was coding and creating basic graphs with simple code. I had some tech issues with the final and midterm but Prof Tyson was understanding. Extra credit questions were also offered. The content of this class was relatively boring, however since it is a major requirement for Political Science I would recommend taking this class with Prof Tyson.