Honestly, not sure whats up with all the bad reviews for professor Hazlett, the man is an absolute legend. Sure, the class is mostly self taught, but the CourseKata textbook we use is very clear at explaining material, and all the homework gets graded on completion. The Jupytr Notebooks can be difficult at times, but prof Hazlett goes through them all during lecture and pretty much walks you through them. The midterms and final were a bit tough, but extra credit was offered with both making it a lot more manageable. I ended up finishing one of the quizes with over 100% even though I got a few questions wrong. The stats itself wasn't that bad, easier than AP Stats, and the coding was pretty elementary and you are given a cheatsheet to help you if you get stuck with a command. Jenny was an incredible TA as well, answering all questions and explaining all the material very thoroughly in section. I'd definitely take this course again and it was a great alternative to stats 10.

Hazlett is extremely underrated for this class. While a lot of the concepts are for you to learn, that's also the nature of the course; learning to code. The course was online notebooks that counted for all the assignments. Alongside that, both the professor and the TAs usually go over step by-step the problems that we do in class, so there isn't anything super hard about the workload.

Don't listen to the bad reviews. This class was probably the most fun class I've taken at UCLA so far, and Professor Hazlett teaches the material really well. Just do the reading, fill out the notebooks, and you'll be golden.

The class was centered on Coursekata and Jupiter Notebooks. The lectures were optional and basically just a supplement to the readings and practice on Coursekata, which I liked since it could just help me retain info I already saw.

The TA Jenny was super nice and helpful. She would make sure to clarify any information from Coursekata. Sections were optional and were available in-person and on Zoom. Same with lectures.

Quizzes and exams were pretty easy if you already did the Coursekata. You learn R coding but halfway through the Coursekata, you learn more about stats than coding.

Overall, the professor and TAs were accommodating and always willing to answer questions, whether during class or via email.

I am unsure as to why the professor's ratings are so low. He is incredibly nice and understanding. One time he even cancelled class just to give us more time to work on our homework. If you just look at the grade distribution, more than half the class got A's and A+'s. This class is really not challenging. The workload, however, can be a lot, and this class is a self-study class. But, you are able to email him or the TAs for an extension on your readings and assignments with no explanation needed. They grant extensions without hesitation. And, if you just do the readings and assignments (graded for completion not correction) and attend lectures where the class works on the workbook together, the exams are really easy as they are literally the questions that were worked on in class workbooks. I have never, ever had any experience in coding before this class. But, I love the program R now. I am not a stem major, and I still found the class extremely easy. Also, extra credit is given on exams. On the midterm, he even gave each student a 5% grade boost to help us out. I would choose this class over stats any day. Coding is a great skill to have.

This class was honestly a lot easier than expected- just do the work and the readings. It CAN be a lot at times (but only if you slack), but if you plan accordingly and just did the work to the best of your ability you will be fine and get an A+!

CourseKata is a great resource to learn from!

Professor Hazlett is literally one of the best professors at UCLA. Yes, as the previous reviews stated, this class is all about self-learning, which can be a bit hectic at times, but Hazlett is extremely understanding given the current ongoing pandemic. Twice I hit rock bottom during the quarter, so I emailed him asking for an extension, and he instantly granted it to me without hesitation. I was able then to catch up and recover. For that, I am extremely grateful for his generosity. Same goes for our TA Jenny. In fact, both were extremely helpful and kind. I honestly will miss this class!

Here's some food for thought. I have to admit that the first 2 weeks was hell because we had to finish 4 chapters in total (however, after week 2, we only need to complete 1 chapter a week). Each chapter took me about 5-8 hours. We had lectures on Tuesdays and Thursdays, so I split the chapter in half and always completed the first half on Tuesdays, and the other half on Thursdays before lectures. That way, the new ideas and concepts were fresh in my head when the lectures started as we do the Jupyter Notebook assignments together.

It's honestly very hard to fail this class because all the quizzes were graded on a curve, and the lowest one gets dropped. On top of that, the quizzes and Final exam are completely open book and open notes.

Just read the chapters carefully, take good notes, create a list of R coding functions, and you should be good to go!

Chad and Jennifer (TA) were extremely accommodating and supportive this quarter. The course may be difficult for those who has zero experience with coding because this course uses R, but it is that much informative and doable.

This content of the class is extremely difficult. The whole class consists of coding in R, which is ridiculous. in addition, there was only 2 TA's that could not accommodate the help that all the groups needed during lecture. Other than that, I do not think the TA's were all that good. They lacked in responding to emails, were often rude, and always referred us to use google for help with coding. I did not enjoy the group aspect because it involved having to accommodate everyone's schedules but without groups, I would have been more lost then I already was. The professor is a nice guy and gives extra credit and also curves the midterm/final. I would probably not recommend this class.

Considering some of the other reviews here.... This class has substantially more content than the regular Stats 10 class but for those who actually want to learn 21st century skills with data analysis, I advise taking this instead. It certainly is difficult but there is a favorable curve and a LARGE amount of extra credit that can boost you up to an A. You can check the distribution; a lot of people get A's. For those wondering to take this class, you have a high chance of getting an A if you put in the work. The entire class is premised on group and in-class work rather than lengthy lectures and individual work. Instead of lectures you get group-worksheets that have to be submitted either by the end of class or by the week's section. In contrast to other classes, the professor emphasizes a contract among the group and to encourage a culture of helping each other out. Not only that but he makes it clear that if you're a shitty groupmember you will be noticed and your grade will be affected. The downsides of groupwork doesn't exactly fall on the fault of the professor, since he already did all he can. People are complaining about the lack of lectures and emphasis on worksheet work but hey I see y'all not even paying attention to lecture anyways and going online shopping ¯\_(ツ)_/¯. As mentioned in the reviews, in the first 3-4 lectures you get a big bootcamp that throws in a lot of information to you at once on how to code using R. It's stressful but we're not expected to learn all of it in one go. In fact that's kind of the whole reason why we get a large amount of practice with worksheets and problem sets. For those who are considering whether to register for class, note that you have a large amount of office hours to talk with the TAs and professor to sort everything out. Additionally one of the reviews were submitted only 2-3 weeks in which is unfair to review on the class as a whole. Now I know watchy'all thinkin: who tf is this teacher's pet? But lemme tell y'all it's clear that some of these people have never taken a south campus class. This class has the rigor of one but the curve of a north campus class. It's as if people were shocked that attending the #1 public university was going to be hard and that it had challenges? But there are definitely downsides. The grades are not uploaded consistently and you're in a permanent state of unsureness because you don't know whether what you're doing is right. Again for those wondering whether to take this class, it's a bit of work and you'll definitely struggle in the beginning but keep in touch with your TA for grade updates and the professor for help and you have a good chance of getting an A.