I feel so fortunate to have taken Stats 10 with Mike. I know Stats 10 is meant to be an easy class, but taking it with such a kind, gracious, and caring professor will make it 1000% more enjoyable. I've never EVER come across a professor that is so thoughtful and caring of his students. Math teachers in particular at UCLA have a "reputation" for being cold, careless, and cruel. Mike, as he liked to be referred as instead of "Professor," is literally the exact opposite. He was the only one of my professors to send out an email during the fires to tell everyone to be safe and that he hoped we were staying healthy and in a good mental space. He is so approachable, so nice, and so giving with his time. His top priority is the mental health of his students, which is something that I wished was more emphasized by professors. He cared about us as individuals, not as a mass of people that he had to lecture at twice a week. I wish all professors were like him. On top of all of that, his slides were well organized, and I have never had a professor who had as quick of a turn-around time for questions as he did. We used Piazza, and within a few minutes the questions I had posted on there were answered by him. The slides are really helpful to study from, and he doesn't require the textbook or the iClickers. Homework isn't collected either, you automatically get 100% in that category, but weekly questions are posted and I would recommend doing them as extra practice (for that, you would need access to a textbook). The breakdown is as follows: 5% homework (not collected), 10% online quizzes (you have unlimited time to take it, but only one attempt and they were weekly unless it was a midterm week), 15% labs (not tough as long as you listen to your TA and ask questions during the lab and are detailed), 20% midterm 1, 20% midterm 2, and 30% for the final. If you have taken AP Stats and legitimately tried/paid attention in that class, this class will be a breeze for you. It was all review and never delved into the detail that AP Stats reached. Overall, if you have to take this class, you would be sorely missing out if you didn't take it with Mike.

Stats 100C is one of the most important classes you will take as a Stats major. The theory behind linear regression is very important and sets you up well for doing statistical analysis and working with data. That being said, Mike placed emphasis on both the theoretical and applied portion, making sure that we knew about why the theory and "hard" math are important for the applied portions. Think about it as "why Stats 101A works." Mike did an amazing job explaining these concepts to us, through very thorough and well-paced lecturing, copious amounts of office hours, and well-rounded exams. Mike's virtue of valuing learning over a grade really reflected in my performance, and it was especially necessary for this class. I wouldn’t have it any other way.

*online version*
Known as possibly the hardest stats class offered, Mike made 100C very easy to follow and learn, even for his first time. He made clean lecture slides that explained the topics well, and the homework assignments built upon what was taught in the (prerecorded) lectures. The class was graded on homework (30%), midterm (30%), and final (40%), but for this quarter, he made the final no-harm/optional. He offered office hours both during regular times and during class times, and was extremely helpful with questions, though he enjoys helping students come to the correct answers themselves. The tests were fair, as they were similar to the homework, but expanded on different concepts.

Take him! You'll definitely love him once you take his lecture. :) Mike is such an amazing professor, and I hope he'll teach some stats upper division classes later so that I can take his wonderful lecture again!

Professor Tsiang and Jake reformed the Stats 102A class to be more rigorous and engaging. We created a battleship project with a custom AI from scratch and even made a package in R (a combination of all our homeworks). I learned a lot in advanced R programming and am thankful for the hours the Professor and Jake put in to clarify any confusion I had. Tough class but learned valuable concepts in writing clear, concise, and effective code

I took this class in summer 2019, the slides he used was very clear and easy, but the homework was really unfairly hard and the tests were tough. It's impossible for a student who just finished stats 20 to write two games and other homework like that. I think the TA JAKE made up the homework, he just wanted to show how talented he is. Avoid this professor and the TA JAKE. If you can, just change the major.

Don't take Stats 20 with Professor Tsiang who always has Jake Cramer as TA!!! I dropped this course on Week 2. The workload was unreasonablly large, and all homeworks and exams were very difficult. Strategies for problems on weekly homework were not taught in class, and they needed great amounts of time.

Michael Tsiang provides notes that are very clear regarding R syntax and gives a good overview of R in general, and you should be able to do some simple data projects on your own after this class. His lectures are essentially going through the notes and code on RStudio and explaining slightly more in depth, but not by much. The homework was manageable (medium to hard difficulty), but they are graded based on optimization as well--you will get docked points if your code doesn't solve the problem in the quickest way, which is not something considered in CS 31 or 32. Tsiang was more helpful when I asked him questions in person.

On the negative side, he was slightly passive aggressive in class. He threatened to tank everyone's grades when someone took a photo of his slides during lecture against his wishes. The exams are difficult in that you have to be extremely familiar with the output formats of different inputs, which I don't think is very relevant to real-day usage where you can tinker around with code and see the output, but might be relevant to coding interviews. Most people found the exams hard, and I scored a B to B+ on both midterms and the final and got an A in the class, so it was definitely curved.

Overall, it's a good overview of R, but the exams and instructor are slightly off-putting. It'll be helpful to work through the problems and study with peers.

Note: This review is for Winter 2021, a quarter conducted remotely for this class.

I took STATS 199 with Professor Tsiang because I enjoyed his STATS 20 class and him as a professor and person. He let me take the lead for my directed research--I did mine on fantasy football analysis (in fact, he didn't know much about the topic, just the analysis I was performing). In terms of what is required, the only thing I had to submit was a final research paper.

Professor Tsiang allowed me to meet with him on my schedule. I could meet as often (or as little) as I needed, and he helped me with a few questions I had about the process. I met on a weekly basis (for the most part) to give him updates throughout the quarter.

TL;DR: Professor Tsiang let me run the course; he served as a mentor as I worked on my research. Ultimately, this course is about the student more so than the professor.

If you're here to find an easy class, go find another class lol, this will definitely take some chunk of your week to do the hw. I'll be honest, I like Michael and wow surprisingly unlike the reviewers here, Jake too. I took this when crap hit the fan with COVID. Class wasn't too hard, unfortunately I wasn't as focused as I'd like to be because you really do learn a lot in this class. If you engage with Jake or Michael during office hours or through questions on discussion boards, they will remember you! Michael's notes are very good and R has swirl which is an interactive command line platform that you go through each assigned chapter that Michael has designed. Our final project was made optional because of how hectic everything is and I am very grateful. I will say the best way to study for this class is to just plug in random crap into R and predict what the outcome is. You don't get to have R by your side during an exam and Jake expects you nail the basics. Having some computer programming experience is definitely preferred because how everything in R is stored is probably harder unless you understand that(although you'd just have to put in the effort to read more if you dont have experience). Miles sometimes likes to be cryptic with his answers because he wants you to learn(that definitely frustrated me a lot), but as long as you show that you're trying, he'll "tell" you the answer if he sees you struggling a lot.