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

Made me love stats again, was willing to send extra material to students who wanted to learn past the class topics and acted as a guide for how to approach that

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

agree w the other review from june 15 for the most part! as someone who didn't feel very confident in my performance in 101a with xu, cha's 101b was very straightforward and digestible. i found both exams to be pretty fair (one double-sided cheatsheet per exam with a complete list of everything to study posted beforehand), and it was nice to have a week 5 and non-cumulative week 10 exam to space things out.

i had daniel chen for my TA and he was really helpful in working through all the homework with us step by step, but i imagine the workload would be significantly heavier with a TA who doesn't explicitly show you the R script for the textbook problems.

the group project was also very fair (running an experiment on an online platform, performing analysis on your data in R, writing a final analysis report on it) but we were advised mainly to work on it after the midterm. if you have a busier second half of the quarter already, the work can pile up so i recommend at least looking at it beforehand and familiarizing yourself with the process and the deliverables, but i think the grading wasn't too harsh.

tldr; would 100% recommend taking this class! well organized and easy to follow :)

Professor Cha was very fair in her evaluation of us. The midterm was harder than expected but definitely gave us a good expectation for the final. Consists of: exam 1, group project/presentation, homework, and exam 2, with exams being 35 and 25 percent of your grade, homeworks being 20 percent, and the group project being 20 percent. She is very fair and I enjoyed taking her class this quarter. Also, the 'final' was in week 10, which was very nice to get it done with before finals week.

Amazing professor and amazing class! Professor Cha lectures really well and cares for her students. The grading scheme is also very fair. Highly recommend this professor!

Homework assignments were really helpful for learning the content. Exams were generally easier than the homework questions as well. Slides were easy to understand and she provided practice exams for both exams. Overall would recommend taking this class with Professor Cha as I genuinely feel like I learned a lot and really enjoyed it!

I have already take AP Statistics and scored a 5 on the exam but as a Statistics and Data Science major we were required to retake Stats 10, so take my review with a grain of salt. Professor Cha was a very kind a funny professor who clearly cared about her students. Lecture attendance was not mandatory, but for every lecture you attended you would get 0.1% extra credit on your final grade (maxing out at 10 lecture for 1% extra credit). Discussion attendance was also optional but I highly recommend going. Lectures were recorded and annotated slides were posted so I rarely went to lectures by the end of the quarter because I already knew most of the information being taught. The only aspect of coding you have to do is the R studio coding apart of the Lab grade but the TAs basically give you all the answers during discussion. My TA shared her screen and we just copied what she typed. There is also a final project that is coding based but it is very straightforward. The exams are very similar to the quizzes and practice exams she posts so they are not that difficult. The exams are also not cumulative.
The grading scheme is:
15% - takehome canvas quizzes - lowest two quizzes get dropped
20% - Labs (coding) - lowest grade gets dropped
20% - lowest of the two exams
30% - highest of the two exams
15% - final group project
1% Extra Credit - Lecture attendance