As a first year student with no stats experience, I found this class easy and interesting. The zoom meetings are optional because she uploads them on CCLE. To receive participation points, you must take a small quiz that has unlimited attempts. The chapter quiz are a little difficult but if you review the slides, you're okay. The Labs were the only thing I had some trouble with, but attending TA meetings allowed me to understand the material. If you are looking to enroll in this course, I really recommend it with Professor Wang. Good Luck!

Good class, good teacher. Really helped to know R in this class, made it so I wouldn't have to go to section ever. All he would do is screen share videos of himself explaining the R coding assignments anyways. Like... wtf?

Professor Wang is so sweet and accommodating. She really cares about all of her students' well-beings, and was always lenient with deadlines in response to crazy real-world current events. I loved this class! I was disappointed at first that I did not get Professor Cha as all of her reviews are raves, but I ended up so grateful that I got Professor Wang.
Lecture attendance is not mandatory, and neither is section attendance. All you have to do is take a short participation quiz that you can take as many times as you want until you get a 100. The midterm and final are very straightforward and similar to the weekly quizzes. The TAs do a good job of explaining the labs, and they are a lot easier than I expected them to be. I HATE coding, but it was very manageable! I highly recommend this class.

This class is a very easy A and I absolutely love the hands-on experience you get with R labs. However, if there is a better professor to choose from, I would definitely go the alternative route. While Wang is super sweet, she also just reads straight off the slides. I love stats, but I found her lectures to be painfully dry and boring. They can also get extremely confusing at times and combined with the lack of engagement, I found myself really dragging myself to the finish line by the end of the course.

Overall, this class will not make you cry, it just might make you super bored. The labs are AWESOME, however, if you're interested in coding or a future in data science/stats. I had no prior coding experience, but if you listen to the TAs and watch the discussion lectures, it's super manageable.

The labs were not explained well in the beginning but becomes simpler as time goes by. The concepts felt rushed through each week and kind of difficult to keep up with-many found the midterm hard, but a bad grade then does not decide the final grade! Recommend tutoring if not math-inclined.

I highly recommend taking this class with this professor. The grade distribution with 20% for participation(which is simply answering poll questions or zoom or if you miss the zoom class answering a few questions on ccle), 20% lab(basic coding that the ta basically gives to you, lowest grade is dropped), 20% weekly quizzes (these are better simple and the lowest grade is dropped at the end of the quarter), 20% for midterm (pretty simple, even if you do bad on it you can still get an A/ A-) , and 20% for the final (which is not cumulative but slightly more difficult than the midterm, becuase they work is harder to understand). Also, the show offers 3-4% extra credit if you do the end-of-the-quarter questionnaire and are active on campuswire. At the end of the quarter, there was a great curve that no expected.

Please take this course with Prof Wang! I took this course Fall 2021 when it was offered online-recorded, and she was an extremely kind and accommodating professor. She would push assignments back whenever we needed to, built in review sessions into our lecture time, and added an extra 1% of extra credit on top of the 2% mentioned in the syllabus (1% for completing a survey of the course, 1% turned into 2% for Campuswire). I had Yijia as a TA and she was very clear when explaining the labs, and since she recorded them I was able to start them the day they were due without issue. The exams were a bit tough due to time constraints but the quizzes made up for them, and one of each of the following category is dropped: Quizzes, Labs, and Homework Assignments. All in all, I would suggest this as both a GE and to take this course with Prof Wang as a pre-req.

This was the easiest math class I have ever taken! I had no statistics experience, but the professor is clear and understandable. She makes the material straightforward and easy to digest. The workload is minimal, with only a few homework assignments and participation activities. The most difficult part of her class are the labs, but the TAs guide you through most of the problems, so it's a breeze! She is an amazing professor!

She doesn't have a tolereance for people who don't undertstand the material. You basically can not ask questionsin the class because she is rude about it. She is also strict on class time and makes sure not to waste a sec. She also doesn't give enough examples so you'll struggle on the homework. The slides just consist of terms and not really problems. I took Stats 123 and got an A in it but this class just made me confused about STATS. The exams are open note, but they didn't help because I already didn't understand the material.

Professor Wang is a decent lecturer. She is dry and not that engaging in her lectures, but the content for STATS 100A is somewhat rudimentary. In all fairness, during the lecture, she goes over concepts, proofs, and does sample questions that mimic the type of questions that are likely to appear on the exam. She does this all very thoroughly, so she does multiple examples per concept. I never left the lecture feeling confused about the concepts or the problems, because she does explain it well. The problem with her lectures is that she goes very quickly, often covering two or three important concepts per week. If you are ever confused about the content on her slides, she gives very brief explanations and proceeds to continue on. She is more helpful during office hours, but she definitely goes at a fast pace. She also uses slides and publishes her annotations to BruinLearn (which is really helpful for midterm/final review).

Homework was definitely reasonable and manageable. She gives problem sets of ~10 problems per week and gives around a week to finish them. Some of the questions are tricky, but most of them are pretty straightforward if you know the concept well or paid attention in lecture. What was somewhat annoying was that attendance is mandatory for the class, but if you missed class for a couple of days, you could make it up through Campuswire/Piazza participation.

As for the exams (midterm and final), I felt that the questions she gave were reasonable and never strayed from the content on her slides. The questions themselves were a little harder than what was covered in her slides, but around the same difficulty as the problems she gives in the homework. I felt the final was reasonable (3 out of the 6 problems came directly from the homework), but, asking around, other people seemed to think otherwise. For midterm/final prep, I would definitely go through the examples she does in lecture, and redo the homework problems. For this class, the textbook is absolutely useless, so practice whatever material she posts on Canvas. Also, her practice midterm and final were a joke compared to the actual exams, so I wouldn't use them for a significant portion of the review. She does generously curve up at the end (an entire letter grade for this quarter), so I wouldn't worry too much about the raw grade in the end.

TLDR; Professor Wang is a good professor, but her exams are a little tricky and on the harder side. She does curve generously, is helpful/approachable, and gives good review material so you can do well in the class. I would take Professor Wang again, and she does give out a lot of A's.