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-

DISCLAIMER: Mike Tsiang was missing, I believe due to working on his research, so we had a TA lead the class. His name was Eduordo Honig, and he was Horrible.

I am surprised that nobody wrote a review because this class was terrible. I get that it was run by a TA so that is partially why, but I didn't like that I had the expectation to take it with Mike and he just randomly went MIA without a word. Anyways, I just wanted to come on here to complain about Eduordo as he did a terrible job even if he was not a professor. Super arrogant, was not receptive to the feedback that the ENTIRE class did not like his teaching and his exams were unnecessarily hard. Anyways, I think this course did not prepare me well for upper-div stats courses with R and I am still as skilled in R as I was before I took the class. I wish I could've written a review for Mike, but Eduordo was a terrible choice for a replacement and he should NEVER teach EVER again.

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.

Michael is a wonderful lecturer! He wants everyone to learn something from his class. His homework problems are very useful. He is very generous and tries to understand the students. His office hours often exceed one hour.

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.

I felt like a fraudulent statistician before taking this class and now I feel slightly less fraudulent. Honestly I didn't understand anything in STATS 101A, but Mike clarified all the concepts in that course, plus so much more. Having taken MATH 115A, the application of linear algebra to modeling was pretty interesting to learn.

Mike's exams are my favorites of any professor's. They're open-note and you can have all the lecture slides during the exam. The tradeoff is that the questions are usually not straightforward, which I like, because it feels like solving a problem more than completing a memorization task, like most tests are.

Homework assignments are similar, with questions that are more puzzling and definitely tedious, but Mike has ample office hours and is always super helpful. Maybe a little intimidating at first, but once you get past the initial anxiety of approaching him, he's the most compassionate guy around. My TA, Yijia, was also super helpful and the fastest grader ever.

As long as you use the resources you're given, you'll learn a ton. And bag the A. Not that it matters...

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

This was a great class in basically every way. The lectures were engaging and informative, and all the work was directly relevant to the midterm and final. The midterm and final were fairly easy but did a good job preparing you for further statistics work. The only thing I didn't like about this class was the coding, but you're going to have to do that no matter what professor you take it with.

Great class. It was his first time teaching 102B, but he was able to teach all of the topics and explain them really well. The material is almost identical to Math 156 and its a cool and relevant class for understanding machine learning. Lectures are recorded and aren't mandatory. HWs really help you understand the concepts and they're easy enough to do in one sitting. Exams are also not so bad, and he emphasizes the importance of mental health and not worrying too much about your grade with lots of motivational speeches. Michael and Miles are my top 2 for stats profs, so I was pleased to take his class.