This class is really easy to BS, I didn't know anything and still got an A.

Class is super easy. Midterm/Final are 20%/30%, lowest score becomes the 20%. "Quizzes" are untimed and easy enough, 15%. Labs are perhaps the most unnecessary things at this school. Focuses on using R to do statistics stuff, you can get by by copying exactly what your TA shows you. No coding knowledge is required. Shoutout Luciano Vinas for being the homie, dude made it so easy to do labs and graded quite easy. There's a group project at the end of the year, thing takes maybe 2 hours to grind out by yourself, there is no real need for a group. 15% of your grade.

This class is definitely one of the easiest GEs out there! Professor Cha is also very sweet and accommodating since she continued to record lectures for us if we were not able to attend in-person lectures. The assignments of this class consisted of six weekly quizzes, a lab due every two weeks, and a final project. The quizzes were very easy and could easily be done as long as you pay attention to lectures. Also, do not be scared of coding for the labs since the TAs will basically walk you through the entire thing and give you the answers. The final project basically involved things we had used in labs, so it was not hard at all either. Also, you can go solo or be in a group of up to 7 for the project.
For the exams, just like the quizzes, as long as you pay attention to the lectures and take good notes then you should be good. Definitely take this class if you can!

Take this class with professor Cha if you can!! she is really sweet and amazing and you can tell she actually really cares for her students. Her lectures are really engaging and she goes at a good speed but she can talk kind of quiet so make sure to pay attention. The class consisted of a midterm and final, 6 quizzes, 5 labs, and a final project. The quizzes weren't too bad as long as you paid attention in class and sometimes some of the questions for the quiz were used as clicker questions during lectures. The labs were also pretty easy and don't be scared because of the coding because the TAs basically walk you through it and give you the answers. The midterm and final wasn't too bad because it's mostly similar to the quizzes but do make sure that you know the content because some questions can be tricky. Also, the midterm and final for W22 were online and the professor used respondus lockdown browser with camera on to proctor the test but don't worry because despite this she made it open note so as long as you have good notes then you will be fine. The final project was also not too bad since you use the coding you learned from labs to help you answer a research question you come up with based on the data set she gives you and you just write a report at the end based on your findings. Also, for the project you can work alone or in a group of up to 7 people so if you do it in a group the project becomes super manageable and easy and can be done in a day.
Here is the class breakdown for what goes towards your grade:
Quizzes: 15% (6 total - lowest dropped)
Labs: 20% (5 total - lowest dropped)
Exams: 50% (midterm 20% and final 30% or midterm 30% and final 20% depending on which exams you did better on)
Final Project: 15% (2 project check ups graded on completion 3%, final lab report and R code 12%)
Extra credit: up to 1% (iclicker questions for participation give you 0.1% for each lecture. answer iclicker questions in 10 lectures to get full 1% extra credit) (yes you will have to pay for iclicker to get these points)
Also on a final note, this class does have an optional textbook (which can be found online for free) but it is definitely not needed or required since you will only be tested on things from lecture.
Overall, TAKE THIS CLASS!!! you won't regret it!

I know it was so long ago, but there was too much coding and a thick international accent made it hard to understand the material, which was taught at a shallow level. Do not recommend to fellow Bruins

I took this class virtually over 6 weeks in Summer Session A. Grade distribution was 20% for homework, 20% for a final project, 25% for midterm or final (whichever grade was lower), and 35% for midterm or final (whichever grade was higher). Dr. Cha's syllabus, slides, and expectations for the course were extremely clear. I still tend to reference her slides for other courses and feel like I genuinely learned a lot. The grading of assignments was very fair. The only thing of note is that our two online exams required a lockdown browser with camera and audio on your device, but Dr. Cha was very proactive in making sure we knew she was available in case of any technical difficulties.

Despite being uncannily clear, the lecturer (not a professor) fumbled with the languages as she only knew R. Hence, there was no way for Ms. Cha to teach SAS/STATA/SPSS

Amazing professor who I will be trying to take for every class she teaches. She is so clear and effective in her teaching. All of her homeworks align with the material and sufficient guidance is provided for them. There is a group project that allows you to showcase your new skills and meet other students. The exams are very fair and modeled well off of the lecture material and homework assignments. Overall I would recommend this class with this professor wholeheartedly.

Grading Scheme:
20% homework (5x4% each - 1 dropped)
20% group project
35% exam (the one with the higher grade)
25% other exam (the one with the lower grade)

Maria Cha is the best professor in the Stats department. Even better than Miles Chen. She is super nice, with very clear slides, case studies, and examples(!!!).

The grading scheme: 20% HW, 20% Group Project/Presentation, 25% midterm and 35% final OR 35% midterm and 25% final.

Homework: REALLY LONG. But doable. Discussions are optional and spent giving all the HW answers. Still do the hw though since the tests are similar. HW was mostly in R but also some by hand. Although you won't be tested on coding, you will need to know the contents/meaning of output tables in R like the back of your hand.

Group project: Simple data analysis and regression of a data set. Essentially use the code from HW on this project, make pretty slides, and slap together a 6 page report. Presentation was graded on completion, and pretty much all groups got a 100% on the final report.

Tests: Averages of ~90% for both. Most people finished the final in ~25 minutes. Very little math on either tests, but instead analyzing R output, taking information from an r output table and plugging it into an equation, and analyzing/explaining different graphs.

This class has incredibly useful content if you want to get into any sort of analytics/data science field. The p value is <0.05 which means the null hypothesis that this is a hard class, can be rejected, and we accept the alternate hypothesis that this class is an easy A.

Reading through the Bible in mandarin was easier to understand than her slides (I don't speak Mandarin).