I took this class Fall 2020 so this is a remote learning review:

Gould tried out a flipped classroom approach this quarter (I'm not sure if he'll continue doing so because he asked for our feedback and no one really liked it.)

There's a lot of work in this class. It's not hard, just time consuming. Every week we have homework problems from the textbook, weekly quiz, and a two-part lab. These are fairly easy points that pad your grade so it's not hard to get an A if you just put some effort in.

Will you learn a lot though? Doubtful. I came in with AP Stats background so most if not all of this class was review. You do most of your learning from watching a 10-minute recorded video every week and optional textbook readings. His lecture is very boring and unhelpful but attendance is more or less required for participation points. There's one midterm and a final - both are ridiculously easy.

TL;DR: take this class with a different professor if you really want to learn R/important stats topics esp for students interested in research.

You just meet once a week for an hour. A guest speaker comes in and talks about their job, and Gould gives you a week to briefly answer 1-2 simple questions about the guest lecture (e.g., what did you find interesting about the presentation, does this job appeal to you, etc) and upload to CCLE. "Final exam" is to just submit a resume. Only caveat is that attendance is mandatory (there's a sign in sheet).

If you're in need of units, this is pretty much a free P/NP 1.0 unit to tack onto your schedule.

This is by far one of my favorite Stats classes so far. Professor Gould is an incredible person and instructor. He was able to explain everything incredibly well and was tremendously active on Campuswire and answering emails.

I personally enjoyed his use of participation in the class, it helped me from going insane to have some personal interaction with others during the Spring 2020, COVID-19 quarter. However, if you are anxious about these type of zoom breakout room activities, perhaps this class isn't for you because they happen almost weekly. (Prof gould would put us into breakouts and we'd explore the dataset he gave to us and do regression on it and stuff).

The homeworks were pretty easy and didn't require a lot of R knowledge. It is a lot of repetition in terms of the looking at model adequacy and running lm() tests on data.

There was not a final exam but rather a final project where you and a few other people (i was in a group of 2) investigate a dataset on your own and right a research paper (about 5 pages) on the topic. The project was easy and fun if you choose a fun topic that you're actually interested in. Grades were never a worry in the class, and was strongly right-skewed throughout the course. Even still, Prof gould curved the class on top of this distribution to ensure no one got lower than a C. I can't wait to take another course with him!

For most of this class I wasn't sure what we were even learning. I would take some notes during lecture and know that I am processing new information but then wasn't even sure what it was that I was doing. The content of the class isn't very difficult but Gould made it difficult.

1. He goes through his slides too fast. I stopped taking notes at one point because half the time I was just writing "see lecture slides" since I didn't have time to write anything down (he does post them on CCLE). He also seems to be using slides he made a few years ago and doesn't remember what's on them. It seemed like the next slide was always a surprise to him and he was learning along with the rest of the class.

2. His homework assignments are terribly constructed. There were often typos that made it hard to understand and the wording allowed for multiple interpretations. My friend went into office hours to get clarifications and Gould said her approach was completely wrong and the other students had thought the same as her. When Gould saw that all the students clearly didn't know what to do, he did nothing. He didn't post on CCLE or Campuswire or anything. So basically if you can't go to office hours you will not be able to do the homework assignments. The assignments are also graded extremely harsh. There might be 5 questions each with parts a-e and if I got one part of one question wrong I would get 10-20% off. I got a 50% on an assignment where I had 3 small errors. If you're wondering, he gave one assignment per week due Fridays at 6pm. The only problem with this is that our last lecture ended Thursday at 4:45pm. And most of the time you couldn't finish the homework until after the Thursday lecture because he teaches material for it. So you have to figure out the homework in 24 hours with no office hours in that time to help. Just Campuswire which Gould rarely went on to answer questions, and there were a lot of questions.

3. His final is EASY. It's a take home exam that you have a week to complete and I finished it in a couple of hours. So don't worry too much about your midterm or homework grades because I guarantee everyone is struggling but the final will save you.

4. Don't read the book. You need it for some homework problems but I think there's a free PDF somewhere.

Overall I would not take a class with Gould again. He isn't the worst professor, but definitely not one of my favorites. It wasn't a difficult class but it took a lot of time to figure out what he meant in his homework problems. My TA was so helpful and I wouldn't have survived without him.

For Stats 101A with Professor Gould, I feel as if I learned quite a bit about regression while not having to worry about my grade too often during the class. Professor Gould provided us with real-world examples in which the skills we acquired in this class could be used. I found this topic fascinating from the start of the quarter, and Professor Gould only increased my love for regression.

While some lectures were more of the standard fare (i.e. him lecturing, us taking notes), there were a few interactive activities to ensure we were understanding the material. Moreover, he would sometimes ask us to collaborate and work in R toward solving a problem he posed, giving us greater practice and thus greater understanding of regression. The homework assignments were appropriately assigned for the most part, with none of them taking an egregiously absurd amount of time. The midterm was an extremely fair assessment of the class up to that point; there were no tricks or convoluted questions.

At the end of the quarter, things became hectic with the coronavirus, but Professor Gould adapted accordingly and made the grading scheme for the final and the class more lenient as a result. This professor genuinely cared about students learning the material and ensuring that everything made sense while also grading favorably on exams.

TL;DR: Professor Gould is a wonderful professor with whom I would take another class; he cares about the students understanding the material while also making grades reasonable. However, if you are a stats major/minor, you should not just be caring about the grade because this material is extremely relevant to potential future jobs, and I believe Professor Gould established a great foundation upon which I can expand.

Given the extenuating circumstances that the coronavirus has put UCLA in this quarter, I could not have been more grateful to have as understanding and accommodating of a professor as Dr Gould. He was very lenient with grading on the final project/exam, telling us to complete as much of the final project as possible and that we'd only be graded on those problems.

The structure of this class was very manageable to begin with, and he focused a lot on solidifying our intuition of the concepts. We have weekly homework assignments where you do modeling in R, but none of them took more than a few hours. There was only one midterm, which was scheduled before multiple linear regression so we were only tested on simple linear regression concepts that are fairly straightforward. From the beginning of quarter, the final was just going to be a take-home project that ended up being like just another homework assignment.

I really enjoyed Stats 101A with Gould! I know lots of people shit on him, but this guy knows his stuff. This was probably one of the easiest classes I've taken at UCLA. His lectures were super clear, and he clearly cares a lot about statistics and students' understanding of it. Due to this, he sometimes went really slow and repeated a ton of topics, but it made the class really easy to understand - he always made sure no one was confused on anything. His midterm was really straightforward and easy, and it reflected the homework really well. His final was a take-home and was also just like the homework - I completed it the night before it was due and got an A. The TAs saved my life in this class because every discussion they just gave us all the homework answers LOL. Besides the easiness of the class though, I loved everything we learned, and I felt like I got a way better understanding of how to use R for data analysis and regression models!

This is not a difficult class, but I really learned a lot. Prof. Gould is passionate about teaching, and his exams are easy. The HWs and Lab questions are not too difficult but really helped me understand the course material. Stats 10 is an easy class, but very helpful because it is one of the few classes that focuses on intuitive interpretation on data, which would help a lot in future Stats and Math courses.

First of all, the reviews are super outdated! Prof Gould is a very clear lecturer, and his class was super easy going and structured. You have weekly homework assignments that can be done in a couple of hours, and the exams were super straightforward (the final was take-home). Sometimes, Gould can give ambiguous answers, but he is encouraging you to provide your opinions since often there are no set answers in this class. It is up to your interpretation. He is also very active on Campuswire, which helps a lot with last-minute questions. Overall, I recommend taking this class with him.

The class content was pretty straight forward, the first four weeks are really easy if you have even just a little statistics background from high school. it gets tougher after the midterm but the slides are all really helpful. Midterm and final both mostly multiple choice, and weekly homework and lab assignments which were actually helpful in practicing applying the concepts (which is all the midterm and final were). I think Gould is a great professor but it was upsetting when I found out that we were required to pay for the $70 online textbook while Zanontian, who taught it the same quarter, provided students with a free pdf of the SAME textbook. Mind you Gould is one of the people who wrote the textbook... other than that I actually enjoyed the class. There were also so many different kinds of software we had to use which was confusing initially. Participation is a very small component so don't worry much about it. Lab and discussion sections are only useful if you're struggling with the lab or homework assignments (the ta literally goes through the answers to several lab and homework problems) but definitely not mandatory, I didn't go for most of the quarter. Lastly there was one 3-question lab quiz that was very easy. I would recommend taking Gould if you need stats 10! I'm not a great math person but i did well.