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?).

I took this class as GE so I didn't put much effort into this class. I only went to three lectures in total and I didn't even watch the recording at all. I basically self-studied for this class. Nonetheless, Professor Mike is a wonderful person and an excellent lecturer. He gave out candies for Halloween and stress duck for midterm season. He cares a lot about students' wellness for sure. All of his exams were fair and cheatsheets were allowed, but there were some tricky questions. We also had a participation system on Campuswire, basically, you just had to ask questions and answer questions to earn reputation points, if you go way beyond you get extra credit. The lab sections were ok but really boring (I hate coding). You can only miss out on one lab section without being penalized. Overall, try to go and pay attention in lectures, Professor Mike offers a lot of resources to his students and provides almost immediate responses on Campuswire. The information and knowledge I gained out of this class continue to help me in my future coursework as a biz econ major.

just a goat of a teacher. he's not only funny, but teaches well and gives fair "assignments." The latter half of the course has a slight difficulty spike, but if anything that makes it actually interesting because it gives you the ability to say statistically concrete things that aren't inherently intuitive. Anyone would do just fine without AP Stats experience.

TAKE THIS CLASS!!! I never took AP Stats and am not great with math, so I was worried about taking a stats class. But, the professor reassures you from day one that the target of his class is for beginners. He is very nice, accommodating, helpful, supportive, and flexible. All his lectures are recorded (lecture attendance is not mandatory) and he posts the lecture slides as well. He is very responsive and will answer most questions posted on Campuswire. Homework/quizzes are very doable and not that time-consuming. He drops the lowest quiz score and the midterm/final is multiple choice. The lab assignments (which use R) shouldn't be too hard as long as you follow along during discussion, but it is fast-paced. Overall, this is one of the best classes I've taken at UCLA and I feel like I have a good understanding of stats now since the professor explains things in a way that's very easy to understand.

Professor Mike is a great instructor who explains the concepts in depth.

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-