Great course! Ms.V is very approachable after class or during office hours. She will try her best to answer the questions. The projects have clear guidelines and are usually associated with daily matters, which is great. Make sure to ask her opinion if any obstacles arise during data analysis. She will help you out!
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Sections
3Only take this class if it is absolutely required, as you will trade meaningful conceptual and coding instruction for a straightforward, highly managed path to a strong grade. The structure leans heavily on a flipped classroom model with uninspiring lectures, frequent group projects, and an expectation to copy and tweak provided code rather than learn statistical programming or underlying theory from scratch. Communication is consistently slow and the instructor shows minimal engagement with student questions, so do not rely on office hours for deep clarification or academic flexibility. If you stick strictly to the grading rubrics, stay on top of the steady stream of weekly deadlines, and navigate the group work efficiently, you can easily secure an A without leaving with a solid foundation for advanced statistics.
45 Reviews
Krista is one of the worst professors I've ever had in UVA. She assigns tons of unnecessary homework every week and doesn't even talk about any homework during class. Won't take another class with her ever again.
Honestly, Krista is trying. Was she an amazing professor who I'll remember shaped my career? No, absolutely not -- but she's trying. The class was incredibly structured in the sense of homeworks, mini projects, and material. The exams on the other hand. She gave us an open-note midterm (somehow I still did terribly on that) and then changed our open-note final to a huge final project. In the end, the final project ended up saving my grade but she assigned it very impulsively and I don't know if she's going to implement it next semester. She teaches straight from the textbook, and homework is also straight from the textbook so definitely have that. The homework is tiring and long, it wears your spirit down so definitely try to get a hold of a Chegg account in some way, shape, or form. Also, I would recommend taking this class with friends because when you do mini-projects/homeworks, having someone to check your numbers and analysis with is extremely helpful. There is a mini-project due for every chapter and you're assigned a group for the first like 3 or 4, and then you get to pick your group. MAKE SURE YOU PICK A GOOD GROUP. The second half of mini-projects is significantly harder than the first half and if you have a terrible group then it's going to be hard. The hype part about this class is all the extra credit Krista gives out for going to talks and writing reflections -- take full advantage of all extra credit opportunities, they saved my grade. Learning SAS was fun, and you apply it a lot but a lot of it is copying and altering bits of her code that she posts. It might have been cool to do an independent SAS project to learn more skills in SAS because I feel like we barely scratched the surface, but I liked what I did learn. Material isn't too hard either, just read the textbook.
I personally wasn't a very big fan of Krista. She wasn't that great of a lecturer and didn't seem that knowledgeable about the subject. Most of the material I ended up learning on my own time. The homeworks were very time consuming, as well as the group projects. On the plus side, she offered plenty of extra credit, and overall the grades were really good for this class. But, I think she's also restructuring the course for the next school year, so I'm not sure how that'll work out. The material in general is pretty useful, but I'd recommend taking the class with another teacher if possible.
I thought the professor was great, probably my favorite this semester. Although I probably seemed aloof in class, I appreciated her enthusiasm for the content and her "jokes" such as "My office hours are moved to Friday...not like anyone shows up anyway". Her miniprojects are actually quite fun to do and seem very practical. She started the semester asking students to tell her if they get too stressed which is also something I appreciated. She also offers to give advice about jobs, graduate school, etc. Overall, she's a professor who seems to care not only about teaching students, but also their wellbeing.