I thought that Professor Garfinkel was very passionate about this subject, and that normally made the lectures very engaging and interesting. He explained concepts in a way that made sense and unlike the 30 series-the coding that we did outside of class was INCREDIBLY relevant to what we were learning in class and it actually really helped to solidify my understanding of different statistical methods. The coding was actually talked about in the lectures and didn't feel like two separate lectures, as 30 a and b did.
However, the workload for this class was very unreasonable. It seemed like the LS40 professors thought that this was students only class. The content was actually really interesting and I think it is very important to learn the problems with "traditional" statistical approaches.

I found myself consistently spending 10-15 hours on the weekly homework and lab. It was difficult to get help because when I went to office hours, the TA was so overwhelmed with questions. Sometimes, the TAs also weren't able to give concise answers-they often seemed just as confused on the material as the students.
There were two team data analysis assignments that were worth a total 20% of the grade. These assignments weren't unreasonably difficult but were a TON of work-especially considering that we also had weekly homework and a midterm on top of these assignments. I also found myself doing the majority of the work for my group, and it was frustrating because we all got the same grade and I received little help with the coding.

took: ls30b

okay. Let's face it. You're a pre-med, I'm a pre-med. We're both worried about our GPAs, because well, to be quite frank, we both need to go to med school. Well guess what? Put all that b*llsh*t aside, and be prepared to learn some real stuff that will change your life. I'm not saying that this class is insanely hard. No. Quite the contrary. Do yourself a favor and take a look at Prof Garfinkel's ratings from 61 raters. Do you see the bar next to "easiness"? Do you know what makes this class "easy"? It's the brilliance in teaching that Prof Garfinkel possesses and successfully executes. His lectures are never boring, and are in fact, crucial to your success. two 3 hour lectures a week too harsh on you? I've been there, and let me tell you down-to-earth and simply: those three hours will fly by, and you'll in fact, stay afterwards to ask him questions. Have questions that need to be reached to Garfinkel before an exam? No worries. Not only does he provide awesome final reviews, but his teaching assistants are incredibly diligent. They will respond when all else fails. They are the A-team. Also, find smart classmates and form a study group.

This man deserves much more attention than what he has received so far, and I really do believe that his class will change your life. This is college, and you're here to learn. You will learn more from this class, than any of the other b*llsh*t classes that you've probably taken to get free 'As'. End of rant, and God bless prof Garfinkel.

Notes:
Much less coding now than previous quarters.
Data analysis assignment is solo now.
Class uses iClicker for lectures (2? are dropped).

The Class:
WHO NEEDS STATS 13!
Genuinely my favorite class I've taken at UCLA. Thought the material and instructor were great. I did not know I liked statistics, but now I do! Felt like we learned truly cutting-edge methodology in comparison to traditional stats courses. Finishing the course has left me feeling very capable of being a strong asset in a research setting.

Professor Garfinkel:
Super great guy who's clearly very passionate about what he teaches. He mainly teaches at David Geffen School of Medicine, which I think is pretty cool (as I am one of the many UCLA premeds myself). Lectures were always engaging. He does not post slides beforehand because he wants you to pay attention to what he says during lecture, but he posts them right after class. Favorite STEM professor I've had; it was always very rewarding to talk with him and engage in class concepts, especially with "out-of-the-textbook" ideas.

Homework:
If you've taken LS30A/B, I would say this is a similar flavor of homework but to a significantly lesser extent. Roughly 50/50 split between conceptual and coding questions, the vast majority of which the labs/lectures prepare you well for. In my experience, LS 30A/B homework took me roughly 6-12 hours a week (I take a very long time and am not the norm). The homework in LS 40 took me roughly 4-8 hours a week.

Labs:
Graded based on completion. Usually a reasonable length to finish during our 2 hour lab (unlike LS 30A/B). I thought they did a pretty great job preparing you for the homework. Our labs had 1 TA and 2 LAs, which was a pretty healthy allocation of learning facilitators for our lab of ~32 students.

Understanding Checks:
Every week you get a quiz on Bruinlearn covering concepts from that week. You get two attempts with the highest score saved. Felt kind of similar to the prelabs from LS 30A. Doesn't take long, maybe 20-25 minutes if you're slow like me. Pretty reasonable content-wise.

Exams:
You're given a very healthy amount of prep resources with problem-solving worksheets, practice exams, and the core coursework. Both the midterm and final were very predictable, and I felt the homework/labs/understanding checks did a good job preparing. I did not read the textbook in this class except for assigned problems and certain conceptual holes I had (though the textbook is pretty good). The exams were based purely on material we learned in lecture and homework. Combination of very basic calculations, conceptual questions, and pseudocode. Felt very fair.

Data Analysis Assignment:
More so than anything else, this is the culmination of what the class teaches you. It's open book and you have many days to complete it over, but you're not allowed to collaborate. It's very similar to the homework data analysis questions that you get throughout the course, except you have the reins on the kinds of questions/analysis you address. As the name implies, it's basically a mock study where you do everything. I REALLY liked it.

Conclusions:
This is the class my bros, broettes, and non-bronaries. Highly recommend. GOATed. I don't want to leave.

So, i see you have come searching for answers after having a pretty bad enrollment time, and not being able to enroll into Stats 13. HAHA, I was once you BUT, do not fear, this class is pretty fun and interesting, and not as bad as the LS 30A/B classes.Honestly, this class was pretty fun. You have labs every week similar to the LS 30A/B ones only the coding is much condensed and more easier now, and they are graded on competition. Contrary to LS 30, the labs are worth less. You have weekly homework assignments due which are lengthy and code heavy based on your labs, but pretty easy as well, only you have to put much more thought into it, but if you are taking notes in class and actively attending PSS sessions, you should be good. They're also helpful for exams. Had I gotten 2 more points on the data analysis and one more point on the final i probably would have ended off with an A. Oh and one time i got to class late, and there was seriously one iclicker question, and i missed it, so i got a zero for participation that day apart from the two other abscesses they allow/drop after I had meticulously planned those absences, so don't be late and do all the clickers they're important. I also, after everything, emailed them after an announcement went out saying to email them to see our final to see if we could maybe get points back and they just...didn't...answer me back...but overall the professor, he's an amazing professor. You can tell he is extremely passionate about teaching this course. His office hours are also pretty interesting and cool. If you can, take it with this professor, he is pretty funny, and everyone agrees he is a sassy person "stats withs sass". Insightful course and trust I also felt like I was taking a risk with this course after not getting into Stats 13, but I learned a lot and it was fun so 10/10 (besides them not rounding my 89% to a 90 could have helped my GPA smh(my self confidence)). Also the exams were not rough at all, just pay attention to detail in the questions. The actual concepts are easy to grasp if you are consistent in going to problem solving sessions if you have questions and TA/Professor office hours. Also, do the PSS worksheets. You'll come to realize that each statistical method follows a pattern. Just don't be discouraged, this class is great.

Professor Garfinkel was one of the best professors I've had at UCLA! His lectures were very engaging and he was extremely helpful during office hours. He definitely is a professor that wants his students to succeed and understand the material. The workload can sometimes feel like a lot but the material you learn in lab is super helpful for all the homework assignments and makes it very manageable. The textbook is also super helpful to learn the material and there were no curveballs on any of the exams. If you try and put in the work with this class you can do very well. The course content is also extremely important and you learn useful coding. Highly recommend this class and Professor Garfinkel!

I decided to take this class after watching Professor Garfinkel’s videos in LS30A and took it simultaneously with LS30B. The work was manageable and I was able to end with A’s in both. The TA’s and LA’s are very helpful with the coding and explaining topics that were confusing during lecture. The lectures aren’t recorded but the slides are posted after and the textbook is very helpful for understanding the concepts. The professor is very engaging and I didn’t mind having it as a 9am. The midterm and final felt very fair and similar to the practice exams, and I recommend using the CLC worksheets as practice before the exams because they use past exam problems. The only thing is that homework was pretty harshly graded even after getting help from TA’s, but this was balanced out by the exams, quizzes, data analysis assignment (which only took a short time to complete), and participation. If you put in the work in this class you will do well, and it was much more interesting to me than a traditional statistics class.

TAKE THIS CLASS.
I'm not going to lie. The only reason I decided to take LS40 was because Dr. Garfinkel taught it. After taking LS30A/B and surviving off of his YouTube videos, I considered him somewhat of a math god. For starters, the content that your learn in LS40 is extremely valuable, and made me question why stats 13 even exists. It is highly applicable to research and builds a foundation of statistics that every person should have. Most of the people taking it are pre-med, and I would highly encourage everyone to take it. Next, Dr. Garfinkel is one of the best professors I've had at UCLA. He is an amazing lecturer, and you can tell that he is extremely passionate about what he teaches. He wrote the textbook so he obviously knows exactly what's he's teaching, and anticipates the questions about more difficult concepts and answers them flawlessly. spring 24 is the first quarter where the workload was cut down, and it is very very manageable. It was less work that 30A or 30B. We just had a lab graded on completion, a homework assignment, and a short canvas quiz that you get 2 attempts on every week. The code is given to you so it's really easy to navigate even if you aren't that good at cocalc. The only issue I had with this class was the grading. We had 8 homework assignment in total - they returned the first 4 right around the middle of the quarter. These homeworks were graded pretty harshly, as they were very nit-picky about the details. I would say it's pretty much impossible to get a full score. Our homeworks 5-8 however, were not returned until grades were due after the final. This was a little frustrating because we couldn't use them as a resource to study, and I had no clue what my grade in the class was. I will say that they did get a lot more lenient with the grading after receiving a lot of complaints. The midterm itself also took 2 weeks to get graded, which I think is a bit long. The instructional team was very accommodating. In addition to the final, there is a data analysis assignment that is pretty easy - it's just like a shortened version of a homework assignment. I was able to get a full score on it, but they don't give you a rubric at all so you really just have to try your hardest and pray you checked their boxes. The midterms and finals were very fair, the questions were pretty much the same format as all the practice materials they give you. All in all, I have absolutely zero regrets taking this class, and if you actually care about your education and the quality of learning/content that you get out of UCLA, I am willing to bet that you won't regret it either. This class is one of the few that I can say is making my out of state tuition worth it.
TLDR: Take this class, they cut down the workload, exams are fair, homework and labs are extremely relevant to content

Prof. Garfinkel is the goat honestly !! He's very engaging and passionate about the material, and is very willing to help students. Our final review session was extended over an hour because he wanted to answer everyone's questions. Class is easy enough as long as you show up to lecture (+ you need to show up for iClicker participation points anyway). Lectures weren't recorded but the slides would be posted on Canvas.

I didn't go to PSS or Garfinkel's office hours but attended my TA's office hours every week for homework help. Unfortunately homework is graded on correctness but they kind of tell you the answers at office hours + you can also see if other people have the same question on Campuswire. For the midterms and final, you get a 3x5 index card. They provide practice midterms and finals that are generally very similar to the actual content.

They haven't published the textbook yet so they provided it to us for free, I'm not sure if it will change.

Overall highly recommend this class!!

I really enjoyed this class, and I am grateful that Stats 13 was filled lol. Don't worry if this happens to you because you will be okay of you take this class! I will say, lectures and homework and super relevant for success in this class. As long as you do the assignments and attend lecture, you will do great in the class! Dr. Garfinkel was a very nice professor to have this quarter. He has great lectures and was always super engaging. He held a very long final review session that was super helpful! However, I didn't find his office hours super helpful for homework/assignments because it was more of a discussion on topic or concepts. Don't be afraid to say "Hi" though! I found going to the TA and LA more helpful for homework or problem-solving sessions. When they said they were reducing the workload by 30% they meant it - thankfully. That being said, the class does require you to put effort in as I found the homework was graded quite harshly. However, I would say that the homework was similar to the weekly quizzes and exams.

This class is a must-take for anyone going into healthcare, scientific research, etc!! It's a relatively easy class if you pay attention and use your resources. The coding aspect is the most difficult part of the class (Python based simulations) but they help you build a really great foundation and they start from beginner level so anyone can succeed, even with very little coding experience. It is so worth it, because you can use the skill of Python to get into labs and actually be able to carry out useful simulations to perform data analysis for your future PI. The class is full of so many mind-blowing concepts that will really open your eyes to the world of data analysis in scientific research and the problems with traditional statistics, and it will totally change your perception of medical discoveries and research. Hands down would take this class again and would easily choose this over Stats 13 for premed or prehealth.

Prof. Garfinkel is amazing, has such fun energy in class and will not sugarcoat the concepts that he teaches. He is engaging, and if you have to miss a lecture they are always bruin-casted. The teaching staff is super committed to helping students succeed and they are very accommodating to extenuating circumstances. The grading scheme is pretty generous and most students seem to do well in the class.