STAT 1601

(Semester was Fall 2023 but there was no option)
Really fair professor; every assignment was announced far in advance with email reminders leading up to each; quizzed content was never rushed, always drew from at least 2 lectures back; prof was considerate of holidays/busy periods and would avoid scheduling deadlines then. Nice organization where all class notes were basically transcribed in the day's R file, and solutions to class problems were posted afterward. Canvas page was also very organized and easy to refer back to. Overall, just a really organized class with a fair, transparent, organized professor that makes the whole experience smooth! Grade breakdown was 40% HW, 20% Check-ins (short canvas quizzes once in a while), 40% final project. Course content was a very practical starting pt for data sci I think! Learned how to write in base R and use popular libraries like dplyr, tidyr, and ggplot. Some skills u learn are basic data cleaning, data wrangling, finding summary statistics, data visualizations like scatter plots and histograms. Course doesn't go too deep into Statistics but the towards the end u have a unit on hypothesis testing, so you will learn how to use R to find test null hypotheses, find its p-value, etc.

As someone who had never touched coding, Prof. Roland made this class super approachable! I was not excited to take this class as a psych major with no interest in coding, but that completely changed. Prof. Roland is very friendly and willing to answer all the questions we had with coding. Grades were composed of weekly homework (30%), weekly quizzes (20%), three class activities (10%), final project check ins (10%), and the final project (30%). The first half of the semester, the homeworks took me 30 mins max, but as we got deeper into coding, the later ones took me 2+ hours, but they were all very doable. There are also 8 TA office hours per week and a Piazza board that Prof. Roland is responsive on. For quizzes, they were timed for around 20 minutes, and we had two attempts and our score was averaged. She also let us drop our lowest homework/quiz grade which was helpful. It is easy to succeed in this class with the vast number of assignments and the availability of support. The only thing I would note is that Prof. Roland is not flexible with turning things in late. If you forget to turn something in, too bad. She seems really strict with this policy, but also has the built in drop homework/quiz to balance that out, so it's your responsibility to stay on top of the work. Overall, I highly recommend this class with Prof Roland! She is very friendly, knowledgeable, and committed to us succeeding, just make sure you turn things in on time and utilize the resources available. #tCFS24

Ok so this class was a requirement for me. Basically never skip class bc you will fall behind. All of class is just going through r scripts and her slides do not give you that info so u def have to go to class. It is easy if you go to class. There are weekly quizzes and homework and it's all fairly straightforward, you get two tries on the quiz and she averages the score. There are also unit exams, you get a cheat sheet tho. I will say that the exams are the worst part bc they are in person and pretty long but I got an A in the class and had no idea what was going on so if I can do it so can y'all.

This class consists of weekly quizzes and homework (all online and on your own time), and 3 exams (in person). I would say that this class is fairly easy, just go to office hours for the homework and you'll be fine. The quizzes aren't that bad either, some harder than others but you can retake it which makes it easy to get a good score. The exams are not too hard because you get to bring your own cheat sheet for it. The lecture consists of Roland writing codes on RScript and I was confused most of the semester, but I ended with an A, so go to every lecture.

This course is definitely a little challenging because this course was changed to have 3 exams in a semester. We also have quiz and homework grades, which weren't too difficult - I went to office hours regularly, so getting mostly 100s on the homework were pretty easy. The quizzes weren't that hard either since they're open note, but some were definitely more challenging than others, so reread all the slides and r scripts! You also get two attempts for each quiz, so it wasn't that hard to get a good grade. The exams were kind of challenging because they are in person, but you get a cheat sheet, so the exams shouldn't be too bad! Professor Roland and the TAs were all very helpful too! Like another review said, it's extremely important to go to class, or it'll be hard to understand the rscript.

I LOVED Dr. Roland! She had such a fun and witty personality, which I think made the class all the more fun. She also really knows her stuff, which is something else you'd want in a professor. She was great at explaining things in elementary terms so that you could understand if you had not previously learned any programming languages. Her end-of-unit assessments are almost 100% applying the knowledge you had learned, but luckily you can have a 1-page front and back info sheet alongside you during the test, handwritten OR typed. There was no final either. This was the first programming class I ever took, and it showed me that I had an unknown love for coding!
#tCFS24

The class is relatively doable. We switched from a group project to exams, but you get one cheat sheet. The hardest unit and HW by far was utilizing aggregate function. That HW took over three hours. You don’t need to go to lecture, but it is helpful. There are weekly quizzes, and you can get them averaged. There are many office hours, so help is always there for you to use. This is still a valuable class to learn from. Just know that she is strict with deadlines, so if you miss one, you are out of luck. She drops several of the lowest grades in each category. You can do poorly multiple times and still earn an A because of the grade drops. I am not sure if she is still doing exams next semester, but those are around ten to fifteen multiple choice with two short answer questions.

This class is a great introduction to data science. It’s really coding heavy and very light on statistics which made it easy to just focus on the actual code instead of figuring out what type of test to run. I came into the class having taken a stats course which made some of the questions easier (quantitative vs qualitative data, types of graphs, measures of center/variability, etc.) but it’s definitely not necessary by any means. Dr R is an amazing professor and you can tell that she is really passionate about the subject. Grading is really straightforward (30% weekly homework, 20% weekly quizzes, 20% class activities, and 30% for the three exams). She drops the lowest homework, quiz, and class activity grade which helps your grade a lot. Lectures can get a bit boring and feel long at times, but she goes over basically everything that you need to know.

Great as an introduction to Data science. I personally found the material a little dull because I was only taking this as a prerequisite. Overall, it is a decently interesting class with a pretty high workload ( if coding is not conducive to you.) Go to office hours and talk to her or the TAs, and you will be fine. Honestly, I didn't take it super seriously and still managed to get a B+