STAT 3080

I have pretty mixed feelings about this course but overall it wasn't that bad. Professor Martinet is smart and a pretty solid lecturer. She is also mostly fair. My favorite thing about this course was simply learning R, as it is a very cool/enjoyable programming language to learn. With that being said, I think there is a lot of potential to make this class better. We rarely got a chance to actually analyze real data online (with the exception of the final project) and I think that doing this more would have made the class way more worthwhile. Most of the time, the homework assignments felt random and not applicable to real life at all. One very nice thing about the course, though, is that there are zero midterms and no final exams. If you are willing to put in a solid amount of work on the homeworks, then I would mostly recommend this course.

I personally hated this class for a variety of reasons but 1.) R is a useful and cool language and 2.) There aren't that many statistics electives, so I would say this class is a take

If you have prior programming experience, then this class will pretty much be a breeze. I didn’t have any background in coding coming into the class and it still wasn’t too challenging as long as you’re willing to spend some time reviewing her notes and googling. The final grade consists of the weekly homeworks, 3 programming quizzes, clicker Q’s, and the 3-part final project. The homeworks and the quizzes are by far the most difficult components of the class. The homework can take upwards of 5-6 hours to finish if they’re difficult but reviewing with a group helps a lot. The quizzes were really hard for me due to my lack of programming knowledge but you can scrape by if you dedicate a fairly sizable amount of time to studying each notes section. Professor Martinent is very lenient with the clicker questions so you can miss a bunch and still pull a 100 for the final clicker grade. The project may seem a little intimidating but the rubric she gives you is very straightforward and simple so if you follow that, you’re guaranteed to do well. Overall, I enjoyed the class and if you’re looking for a statistics elective or introduction to R that won’t kill your GPA, this is a good option!

I generally agree with the other reviews. I'm a CS major and found this class to be very easy, mostly because 1) R isn't a hard language to pick up if you already have programming experience and 2) Only basic programming concepts were covered. If you're worried about going in with no prior programming experience, I'd recommend going through a basic R tutorial on Datacamp a week or so before the semester starts, as that will provide a short overview of what you can expect in this class.

Great Professor! Class was super easy to get an A in. Class contains mostly of programming assignments (which you can drop your lowest 2) and you just have to go to office hours if you need help. There are programming quizzes (3) but those are doable. She does require inclass participation through iclickers, but she is open for you going to other lecture times. overall great class!

Easy enough class if you have basic programming experience. Assignments get a little confusing at times, so just go to office hours and they pretty much walk you through it. Had to go to lectures because of clicker questions, but they weren't too bad. I think we had like 3 quizzes throughout the year, testing on basic programming knowledge and syntax. Study for those and you'll be fine. Also you get two homework drops, which is pretty clutch just in case you forget to submit an assignment.

This course is great for people who are interested in learning the basics of R and new statistical methods. The class is minimal work, with just weekly homework assignments, 2 of which can be skipped/dropped. Prof. Martinet is awesome and I genuinely looked forward to coming to class each day because of her. Other assignments are in-class quizzes which can be tough, but are doable if you study, as well as a project which is actually kind of fun because you get to choose your own data set to explore. Overall, a fun, pretty easy and enjoyable course.

If you are worried about a lack of coding experience coming into the course like I was, don't be. The course is not as intensive as a CS course, and you should be able to pick up on a lot of the coding fairly quickly as long as you have at least some experience with it. While I didn't think Martinet was the most engaging professor I have ever had, she is very caring and always willing to help out. The only thing to be concerned about as far as the coding aspect is the quizzes, which there are only 3 of. Since there are only 3 and they're collectively worth 15% of the grade, if you're a little shaky on the methods, I highly recommend going back and re-doing the homeworks beforehand to get some practice. Overall, a fairly easy and worthwhile course if you're looking to get credit for the STAT major/minor.

This is a grinder, but deceptively easy grading. Martinet does a good job with a relatively dry course.

Grading is 35% project, 10% clickers, 15% quizzes, and the rest homeworks (as best I remember).
Project is split into 10% for a proposal, and 25% for a final submittal. Both are clearly laid out on rubrics, just make sure to find good data ahead of time.
Clickers are not very difficult, and there are enough that everyone should reach the buffer point.
The programming quizzes are so hard. Paper coding is rough for anyone, much less a non-CS major. So much code is covered each class that without a lot of study the quizzes can tank you. That said I got an A with about a 66 quiz average so not all is lost, but put in a good few hours prepping for these.
The homeworks are, well, a pain in the ass. They are very helpful to learn the material, and tend to be pretty straightforward. However, as the semester goes on the coding becomes much harder, and there are often "leaps of thinking" needed to get a good score. There are TA office hours, but queues are long. Be sure to make a few friends to bounce code off of, otherwise you will spend hours a week in a stuffy room waiting for TA help.

Learning Monte Carlo simulation is cool, and it is a good intro class. It seems stressful as the year goes on, but honestly wasn't too bad.

Incredibly useful class, and the R is really practical. Grading is consisted of weekly homework that are relatively straightforward, and office hours can be helpful if you have questions. Martinet is a great professor that really cares about her students. There are also a few programming quizzes at the beginning of the semester to test your knowledge and make sure you can do the coding required. The material at that point is pretty easy so just take some time and review the notes beforehand and you should be fine.

There is also a final project that is a really cool application of what you learned. I loved how this class was structured (I wish all the statistics classes were structured this way) - teaching practical experience to students is so helpful in real world applications (I used my skills in future jobs/internships)