lectures can drag but you dont really need to go to succeed. Easy class overall if you do the hw and read slides but she will not round AT ALL

Professor Cha is a really sweet person and I liked her, but I found her lectures to be super unhelpful. I probably should’ve gone to office hours, but I never did so I can’t really say how helpful she is outside of class. I didn’t find this class super easy because I tend to struggle with math/statistics, but I still did well and I felt that she was very fair as a grader. There are homework assignments in R that you do during discussion, and these were pretty simple for me and definitely a grade booster. She also gives quizzes on canvas at the end of each week to test your understanding of lecture material, but I didn’t find the quizzes very helpful in terms of solidifying my understanding of lecture concepts. Overall, not the best at teaching, but a really nice and understanding person.

Professor Cha is definitely one of the best professors I've had at UCLA. I'm a poli sci major and this class was a pre-req and I took Stats in high school, so I had some basic knowledge; but even then, the professor and TAs were more than accommodating. The class is broken down into the following:
- Midterm + Final = 50% (whichever you scored higher on weighed 30% and the other 20%)
- Group project = 15%
- Labs (5, with lowest grade dropped) = 20%
- Quizzes (7, with two lowest graded ones dropped) = 15%
- Iclicker extra credit (if you went to 10 out of 20 lectures) = 1%
After the final exam, she said that the mean wasn't as high as she expected so she would be adding an extra 2% to everyone's final grade. Not final exam grade, but final grade, which is very significant if people did the iclicker activity too, because then they got 3% added. No coding in the lab, just the stats content you learn in class is tested.
The midterm and final are both manageable, very similar to her practice exams but she lets you bring a cheat sheet that's 15 pages double-sided (I just ended up printing my lecture notes). The exams are not cumulative so that's another plus point.
The group project is much easier if you do it with a group and the basic coding needed is stuff you pick up from the labs. It's not too hard but it definitely helps if you do it with other people.
The labs were something I was dreading but the TAs basically walk you through it and give you the code so you just have to run the same in R. My TA was also really accommodating and recorded each lab session so I would just watch those and complete the biweekly labs that way.
The quizzes were pretty straightforward and covered materials from the prior week. If you watch her lectures and pay attention to the examples given on her slides, you should be fine.
One of the most helpful things that Professor Cha provided was examples after every concept she taught us about. There would be 2-3 examples and she would work through it in class, and if you understood the steps, then you'd be fine on the quizzes and exams.
Professor Cha is incredibly sweet and accommodating and also tells you to prioritize your health over grades (genuinely loved hearing this from a professor). I would definitely take this class again!