This class is such a Nightmare. homework assignments are ridiculously long and tough to complete, lectures are clear but useless. his in class exams are not relating to what he mentioned before. kind of tricky to test students and the most disaster is his grading scale. 30% of non dropped homework along with 36% class exams and final. campus wire is a joke as well. there is no way to get 50 upvokes to reach eagle level. stay away from Professor Chen and save your life. This class brings anxiety and depression to me

Much of the learning is done through Data Camp, plus some in-class presentations in Jupyter notebook by Prof Chen. Lectures are recorded and posted on YouTube, so attendance is not necessary (Almost no one attended the last 2 lectures before Thanksgiving). Felt like only learned mostly from Data Camp exercises for data analysis, only the last few lectures were brand new material outside Data Camp. Not the best class to fully master Python as modeling and ML techniques were only simply or briefly discussed

Summer session for 102B was pretty watered down, skipped a lot of proofs and the final chapter on PCA. Lectures were all uploaded to YouTube but attendance was required. Felt like I didn't learn much about applying ML techniques for extensive data analysis but got an easy A. Lectures were a bit rushed and unclear on neural l networks since summer had limited time. HW seemed unchanged from previous years as there were issues with R version above 3.0 , which was addressed very late into the session. A bit disappointed in the lack of interest/input

Professor Chen is a great Professor overall. He explained everything well and made sure to explain things in a way people could understand. The workload is EXTREMELY light aka one midterm and the final (he doesn’t grade homework) BUT make sure to do the hw problems anyways because they’ll help you a lot !!!

On the one hand I spent $1395 to take this course. On the other hand, I went to half the lectures, didn't pay attention, and got an A+.

More seriously, the professor seemed clear and nice, but the course is not up to UCLA standards. But maybe I just feel this way because I'm a math major taking stats 10 as a life sciences GE ;)

Easy Peasy

Professor Chen is the nicest professor I have ever had, he cares a lot about his students and is passionately in love with Statistics. This class is a great introductory statistics course, and it is very easy whether you have taken a stats class before or not.

Miles Chen is such a sweetie and is so passionate about statistics BUT I definitely thought the class was a bit boring. Like many people I had to take this class as a pre req for my major and I think if you have to take the class he's the guy to take it with. His lectures were a bit boring but very straight forward and never confusing. The only tricky part of the class was the coding aspect, but it was all the basics and attending office hours or even just meeting with TA's in discussion sections they would kind of guide you through each lab assignment. My laziness and summer attitude made this class a mild challenge for me, but I definitely think if you put in a little effort that it is pretty clear and easy.

I really like Miles and this he is a great professor however this class is hard. He screen records all of his lectures so you can go back if you miss one or need to review but he does take attendance in class. He gives 6 homework assignments and you have about a week and a half to do each. START EARLY. They are tough and take a long time to do. Go to your TA for help. Miles is very strict about not looking at other student's code but the TA can be more lenient. His midterm is difficult but he gives a practice midterm and the structure and types of questions are basically the same. The material taught after the midterm is totally different (less coding heavy and more concept-based). His final is not at all like the midterm (not cumulative) and is much easier. Overall I really enjoyed this class even though it was difficult.

After taking STATS 102A with Professor Chen, I was excited to have him again for STATS 102B, and he did not disappoint. While STATS 102A had a heavy coding emphasis, this class focused more on algorithms and the math behind said algorithms. For the midterms--particularly the second one--I was pressed for time, but that was the only uncomfortable part of the course. Having taking STATS 101C prior to this class, it was an enjoyable experience; 101C and 102B have quite a bit of overlap. In fact, I would term 102B as "coding 101C," which I enjoyed because it allowed me to better understand how these algorithms actually work rather than simply filling out a template with defaults. STATS 102B is one of the more important classes in the stats major, and Professor Chen made it a great experience.

He is a great professor. Explaining things so clearly with his lecture slides. Tbh his clarity made the class so easy that you don't really have to study for it or attend lectures. Also if you have programming experiences, the assignments will be very easy as well. Overall, great professor, super easy class!