Professor Michael Tsiang's lectures and slides are very helpful because he breaks everything down in order for it to be easy to understand. His exams are not easy A's however as you will find trick questions or oddly-worded questions causing you to get a B or B+ on his exams instead. But don't worry!!! I was below the mean on the first mid-term, but quite above the mean on the next mid-term and final. As long as you guys make sure you are at the mean for every exam, YOU WILL GET AN A! In addition, he gives very generous extra credit opportunities, which I made sure to capitalize on, make sure you do too. Although this class might make you stress out a bit, as long as you put in your effort, it is an easy A. I wish all his future students the best of luck. YOU GOT THIS!!!

1.[Difficulty]: ★★★★(If you want an "easy-A GE class", this is IT! The midterms are a little bit tricky with an average score around 86, but the final is a relief. For the final, make sure you understand each material since some concepts are similar to each other and may be easily confused. However, the exams are moderate in difficulty and definitely manageable. There are labs, where you have to write codes and produce results with a computer. Since the TA's go through the answers almost step-by-step during the discussion, it's hard not to get a nice score out of this, so be sure to attend lab sessions. No homework, but there are online-quizzes, which are similar in difficulty with the examples he goes through in class. In addition to all these, Prof.Tsiang posts his slides and recordings of the lectures to the website, so that if you don't want to walk all the way to the classroom, you can still catch up by self-studying. All in all, an easy-A class, as long as you go to labs and pay attention to the concepts.)

2.[Workload]:★★★★(No homework, but have to do multiple-choice online quizzes which takes about 30 minutes per week. Labs are important, but you can get away with it by attending lab sessions and pay attention to the TA who basically gives you the solution.)

3.[Lecture]:★★★★☆(AMAZING! To be honest, attending Prof.Tsiang's lectures is a kind of enjoyment for me, since he goes through all important concepts so clearly and logically with detailed examples that it is hard not to understand the concepts after the lectures. Also, Prof.Tsiang goes to great lengths to make his classes as enjoyable and resourceful as possible, so definitely go to his lectures even if you can self-study with the notes he posts online.)

4.[Overall]: TAKE HIS CLASS at all costs. Prof.Tsiang's stats10 has been my favorite class at UCLA so far, and I reckon you will feel the same, should you choose to accept him as your professor.

Professor Mike (as he prefers to be called than his last name) is arguably one of the best professors that I have taken as a lower division class (I took this class for fun for the summer, since it does not satisfy any requirements for my engineering major). Anyway, Professor Mike went above all expectations that I could have expected from any public university faculty member. His lectures are very clear with the content and relatable applications, often amusing with his interesting jokes/comments, and his attempt to connect with the students and himself, through Campuswire and proper communication, is distinct and commendable (in fact, I think he connected with the students on a personal level almost unparalleled than any faculty member I encountered at UCLA). I am satisfied that I took this course over the summer, and it will be an experience that I will not forget for the rest of my life. And also, his Winers-and-Cheese Club (basically, a personal mini social club) was also a very fun experience, being able to chat with him informally. If you want to connect to him on a personal level, this is the place to be (at the time I took his class, it was on Fridays, 7:30 pm, at MS 8105). Dr. Mike, on behalf of the entire body of students that took Stats 10 for SSC 2022, thank you for all that you do! I am certain you will make many more meaningful achievements, both within teaching statistics, researching in statistics, and making long-lasting friends (because waffles and friends come before work, right?).

Super easy!! The TAs are really helpful and the professor is super sweet and not intimidating at all. They all clearly care about students. The material is also very simple at first and then gets more interesting as you go, but never more than manageable. Highly recommend this class, it was a perfect summer class

Took this class over session C and to be honest was a little hesitant after reading reviews / hearing opinions of past students. I’m so happy I didn’t drop it and took the course with Dr. Mike. I should mention that R was my first programming language, and prior to this course I had only worked with R in a very superficial manner in another course. I think the class was split between students who had more programming experience and those that didn’t, so (as someone who compares themselves to others) it felt like I was behind the curve at times. I brought this up once or twice with Dr. Mike during office hours with other students and he always reminded us that we were doing fine and to specifically stop comparing ourselves to others. He also would remind us that it was normal to master some of the concepts in the course, as attempting to learn a programming language in 6 weeks is an especially difficult task. Dr. Mike always made himself available for questions on the course, however what I appreciated the most was that he would also be willing to talk about things outside of the course material: grad school, upper div stats courses, life, really anything.

HW’s assignments are graded upon completion, but there has to be an effort to solve the problems. The questions can be pretty difficult if you’re new programming BUT if you’re actually trying to learn the material they genuinely did help drive the concepts home (at least for me personally).

The midterm and final were definitely hard, however there was a strong curve in the class based upon the grade distributions and other factors. I got a 75% on the midterm however that translated to an A/A- after the curve.

All in all the course was difficult but rewarding. Dr. Mike was extremely passionate and empathetic toward his students and I would 100% take another course with him again. I would definitely recommend going to office hours each week to discuss HW’s and Exams as it gave me the opportunity to get out of my comfort zone and ask questions. I never felt like my questions were “stupid” or anything, which is a big fear of mine.

This class actually kinda kicked my ass. Everything seemed straightforward and then wasn't. I walked out of the first midterm thinking I couldn't have gotten anything wrong but I got a C. Lectures are basically useless, and the TAs that we had at least SUCK. Labs and HW are easy, it was really the midterms and finals.

But Tsiang is a really cool dude and obviously cares. I should have gotten a B- and he bumped me up to an A-

Not hard to pull an A because:
1) midterm+final not too hard
2) a good portion of your grade is assignments that you can check with TAs for accuracy if necessary
3) extra credit: up to 0.5% for Campuswire discussion, 0.5% for section/lab attendance (can miss up to 3 sessions), entirety of last lab
4) lowest grades in each portion of grade (quizzes, hw, lab) is dropped
5) no clickers/participation for lecture
6) unrelated to grading, but textbook isn't required though hw assignments refer to it. you can get by with pictures from friends or the pdf
7) some real homies on the Campuswire discussion forum (like Piazza but less ugly) pretty much give answers out to questions if you get stuck on assignments bless yall

Despite all this, I found it harder than a lot of the other LS major prereqs. Before you think poorly of me, this material is SO DRY my constantly chapped lips are like an oasis in comparison. First day of class, "new quarter new me" mentality in place, and I still fell asleep. It's really not Mike's fault that I found the course material boring-- he's a pretty funny guy and not uptight like some profs can be at times. Class attendance at lectures the few times I went was ABYSMAL because you can just watch it on 2x on Bruincast if you want (and still probably nod off while watching the video too).

Best professor at UCLA!! Exams are extremely straightforward, just make sure to pay attention to little tricks in the conceptual questions. Learned a lot while keeping the workload light. 10/10 recommend!

Mike is the professor you want for Stats 10. He lectures thoroughly and clearly, he gives out hella extra credit, and homework is completely optional (although helpful). You get one cheat sheet for each midterm and three cheat sheets total for the final. Labs are done using R and do require a bit of conceptual understanding, but are overall doable. Just make sure to go to lab to get what you need from your TA. Mike is also a great guy in general, lots of Parks and Rec references, super relatable.
Best experience I could've had for this class. Mike gives you every opportunity to get a good grade. Would take again and highly recommend this professor.

Best statistics professor in UCLA. Wish he taught more upper divs. Even if you're not intending to major in stats, take this class as a GE. He allows cheat sheet for midterm and final.