TLDR: pick a different professor if you can
Stigler was an okay professor... It was a flipped classroom where we used a thing called Jupyter Notebook through bruinlearn to learn R and then during lecture, he would just code on a separate website and we would just have to copy it down and submit it. The class is super easy when it comes to completing work and submitting things but when it comes to the tests everything is different. All we did during class and homework was code R, but the test would ask questions about statistics. None of it felt connected and I never knew what to expect on a test because the first midterm was super easy multiple choice but then the second midterm and final were multiple choice questions based on the code we make. Unfortunately, I ended with a C- so I have to retake the class for my major which is annoying because my friends who took 100A this quarter with the other professor said it was the easiest class ever. Stigler also would be really rude to his students when they didn't participate, he would just pick on people and say "you answer this because I made eye contact with you" or he would just make mean and snarky remarks about how no one is participating but its literally just because no one has any idea what is going on.

There are two grading schemes, they try both and then apply the one that gives you the higher grade.

Method 1: homework (10%), midterm 1 (20%), midterm 2 (25%), final (40%), Jupyter (5%)

Method 2: homework (10%), midterm 1 (20%), midterm 2 (30%), final (40%), Jupyter (0%)

1% extra credit if you participate in a study but according to him, he only does this sometimes.

I would 100% take this class again with Professor Stigler. He cares about his students, was responsive to emails, and was happy to give me accommodation on the in-class assignment deadline for personal reasons. In regards to the course material, he for sure knows what he's talking about because he helped write the textbook used for this class. I took this class as a first-year without having taken Stats 10 or 13 at UCLA, and just coming in with basic stats knowledge from a CC stats class that I took a couple of years ago in high school. This class programs in R, and my only coding experience came from the LS30 series. Nonetheless, the stats concepts are quite basic (I assume similar to what is taught in AP stats or Stats 10/13) and are not hard to grasp as the textbook was written to be easily digested. The only required homework was to work through the textbook chapter by chapter, module by module, completing the comprehension questions and coding exercises embedded within the text. It was worth 10% of the overall grade (1% for each week's worth of modules). If you legitimately work through the textbook without using Quizlet or just guessing/speeding through it to get the chapter over with, it does take a few hours, but it truly is an investment because you likely will not even need to go to lecture or study much for the midterms/finals (at least in my experience).

Since this class is taught in a flipped-classroom style, lectures are just supplemental and used to confirm your understanding. Dr. Stigler essentially works through a Jupyter notebook that covers concepts in the textbook and the lecture is a perfect opportunity to ask questions. You can even ask a question indirectly/anonymously through the TA if it makes you more comfortable, which I thought was nice. To encourage participation, Dr. Stigler offered an extra credit opportunity where you would be assigned a random lecture day to sit in the front row (the Splash Zone) and be cold-called. The Jupyter notebook you complete in every lecture (except for those right before exams) counts for participation and is worth 5% of your overall grade, but there is a grading scheme where that 5% can be reallocated to your final such that your final is worth 40% instead of 35%. Dr. Stigler records lectures and uploads them on Canvas which was helpful. I think I went to maybe two or three lectures in person and just watched recordings as I needed.

Lab sections were required (10% total, 1% for each week) as the TAs essentially needed data for the research they were doing. It felt very elementary (lots of cutting up paper and rearranging the pieces) and honestly felt like a waste of time because it was so surface-level compared to what was being taught in class/textbook, but the exam questions were extremely similar to lab questions/pre-lab exercises, so it was worth going. The TAs were understanding and will let you miss/make up a section or two if you have a legitimate reason.

Exams are extremely fair. Each midterm was worth 20%. I did not really study for a single one because I just went through the textbook when I was doing the homework and kept up with the material. Each subsequent exam is cumulative and includes material from the previous ones, but all the concepts build up on top of each other, so you do not really have to go back and study old material. Exams were taken on a Jupyter notebook itself. Though this class is heavily coding-based, you do not really need to take the time to memorise syntax as an R cheatsheet is provided for you. The exams were a mix of multiple-choice, coding, and open-response questions. The questions are very similar to the end-of-chapter review questions and coding exercises from the online textbook, and from the questions used in lab section. There was nothing on any of the exams that I had never seen before or that was significantly more difficult than what was covered in class/homework/lab. Both midterms and the final had content-related extra credit questions on them. There was free extra credit on the final that just asked you about your experience in the class.

Overall, this was the most positive experience that I've had with a professor and with a class at UCLA so far. Definitely recommend!

If you have taken stats 10, I feel like you will do reasonably well in this class. The textbook is an interactive one online and it focuses mainly on writing simple R codes (which you will have to write). The completion of textbook materials counts as hw and it is basically the only assignments for the class. The lectures are optional and not really necessary because he just goes over practice problems that only sometimes have to do with what will be on the test. Overall there was more coding (which was relatively easy), than there was stats. At the end there was stats but it was nothing that stats 10 or high school stats didn't prepare me for. Labs are mandatory and will often seem pointless but some of the questions that they make you answer will be on the test so its basically free points if you review them before the exam.

I haven't talked to professor Stigler, but it was a really easy class.
There are 3 exams:
Midterm 1: insanely easy basically all MCQ
Midterm 2: kinda confusing, but also easy. Super lenient grading
Final: difficult, but pretty easy if you studied well.
Honestly studied the day before for all of these exams, and passed everything. Labs weren't that helpful, but as a recorder, it was pretty chill. I recommend taking the class with him; I learned a lot and the class went at a good pace. Also, the grading is pretty much all participation based.

Easily the best class and best professor I've had in my time here. Professor Stigler is extremely accommodating and demonstrates how much he wants us to succeed. However, do keep in mind that this class has nothing to do with math and mainly focuses on coding. You don't need to buy a textbook because there is a free online textbook that is broken down into modules that you complete for homework. There were two quizzes that were pretty straightforward and he did allow us to correct our mistakes for the first quiz to earn an extra 5 points. The final involves a dataset that you are expected to analyze and it's pretty straightforward. You will spend the month prior to finals week working on a practice final that is exactly the same as the final but just uses a different dataset. If you have a chance to take professor Stigler definitely do it! I was nervous about this class because I had never coded before but he and the TAs did a great job at guiding us through everything.

Okay I genuinely underestimated how easy this class is. Like I've heard that this is a ridiculously easy class...but like it was truly a free A+. I did not attend a single class and didn't pay attention to the CourseKata assignments and I still got an A+. I literally survived this class solely using high school stats knowledge.

This was easy because the HW and practice final were based completely on completion -- free points. The quizzes were solidly easy because they were take home and open note. And the final was basically the practice final with different numbers.

Statistics is a concept that often goes over my head-- I hate math and coding, and statistics is a good, healthy mix of both. However, this is one of the best classes I have ever taken. The textbook, which Dr. Stigler co-authors, is very, very helpful. It integrates coding exercises with statistical concepts seamlessly, and I always felt like I knew what the code was doing & why I was writing it. In other coding courses, I have often been unsure of what the function of the code I was writing even was, but not in this class. Coding became fun once I knew what I wanted from it-- it became more of a tool rather than something to be afraid of. As for the teaching team, I couldn't have asked for better faculty. Dr. Stigler was extremely understanding and flexible, conducting the class in a remote format for students who chose to & providing a hybrid option for those who wanted to come into the classroom. He has a great sense of humor and was never condescending when students asked questions-- he always opened up the room for students to talk and was very thorough in explaining concepts. My TA's this quarter, Icy & Mary, were exceptional. I really felt that they went above and beyond in providing assistance to students. During lecture, they constantly monitored the chat, never leaving students hanging with a question unanswered. They were often willing to set up extra office hours to clarify any super confusing concepts and provided helpful slides to accompany their lectures during section.

Take 100A with professor Stigler, you will not regret it! He is such a helpful and understanding professor.
Class breakdown:
5 quizzes (every even week): 40%
Homework: 15%
Participation (this is optional, but if you choose not to participate, quizzes and final will be weighed heavier): 15%
Final: 30% (he made this optional!!)
Great professor overall and I have learned a lot from him, and I'm so glad I learned how to use and navigate in R!

Stigler is a great professor! He's the best professor to take Psych 100A with!
I really enjoyed having him and he explains the material really well!
Although I found some of his quizzes to be rather difficult, he drops the lowest quiz and even made the final optional this quarter!
Overall, the class was interesting and I would highly recommend him!

Going through the textbook chapters for homework can be tedious, but it isn't too bad. There are open note quizzes every other week (untimed, essentially 24hr) and the final was also open for 24 hours. Attending lecture was not mandatory, although extra credit was given if you did attend and fill out the Jupyter notebook for the day. Overall, Psych 100A is a pretty easy class (even more so if you've already taken Stats 13) and the coding isn't that complicated. Stigler is a very understanding professor whose teaching is clear and straightforward, and I recommend taking this class with him!