If you have taken a statistics course before (such as AP Stats in high school), this class will be a breeze. 90% of what we learned in this class was material I had learned in AP Stats. As a result, this class was easy and I don't feel like I learned much. Professor Ferrara is nice, but she talks slowly and explains everything multiple times, so class time tended to drag on. The course itself was structured so that we took notes before class and did practice problems in class. Usually, we would do about 20 minutes of practice problems, and then Professor Ferrara would spend the next hour explaining those problems. Tests were very predictable, and there was only about an hour of actual homework per week. There is also a 1 hour "lab" each week, which is just basic coding in R, and can easily be finished during class time if your group is motivated. I actually really liked the lab component of the course.

I got an A+ in the course. In my opinion, this class is doable. It's easy to get an A if you do the work.

The style of the course is strange. The homework is to review the powerpoint and teach yourself the content. Then, in lecture, in a small group you work on 1-3 problems. She monitors attendance by the classwork, but you do get 4 drops. In lecture, she does go over the content as if you have never heard anything before, but doesn't do a full overview. There is also a lab section of this class, but do not be intimidated as she makes lab very easy. The lab uses R studio and her pre-lab videos cover exactly what to do. I do not feel I actually learned the coding content, but more just copy and pasted code and changed a word or two. I had never coded before, and I felt it was a breeze.

Advice:
1. Know the vocabulary - The hardest portions of the exams were NOT the statistics/ math parts, but the multiple choice. If you want to do well, make sure you know the vocabulary
2. Go to office hours for homework problems - On every homework problem you get 2 attempts to get the correct answer, and it is graded. I recommend after the first attempt to go to office hours to have the TAs check your new answer. It is annoying, but they will confirm your answer so you are guaranteed a 100% on the homework.

This is the perfect class for anyone who wants to go into health/biology. Stats was never my favorite topic, but she made it easy to understand. The classroom is flipped so lectures are on youtube at home and then practice group problems in class with a once a week lab to learn R Studio. Everything is well paced with good instruction and her office hours are helpful. She is really nice about helping students who are confused as well. Her exams are all a little harder than the practice problems so if you take this class keep in mind to use her practice exams and really study times. Timing yourself on them helps understand your capacity better. Labs and HW are weighted just as much if not more than the exams though so they aren't super stressful.

Good class and relatively easy A if you are willing to devote a little time to it each week! Classroom is constructed to be reverse which I found annoying and not as helpful as a traditional style classroom, but the content isn't hard so it wasn't so bad. Homeworks weekly, but you get two tries on every question. Labs were also pretty easy if you watch the pre lab video. Worst part of the whole class was taking exams in that cramped lecture hall because she didn't staple the pages together.

For background, I took a stats class before taking this course, so the material itself was pretty easy. My friends who took this course thought that the material was also pretty easy to quickly understand (or at least pretty easy to understand after some practice).
Maria, however, is a whole different story. I thought that she would be pretty easy going at first, but it turns out that she pretty much hates her job and takes it out on everyone else. She is an INCREDIBLY slow talker -- I always put her lab videos and lecture videos (which I hardly watched) on 2x speed, and it was still slow. Her lectures are pretty much useless because she posts all the material that needs to be learned before hand as a PowerPoint and video, and lectures are just practice we get already in the homework (I regretted every time I showed up to lecture, but there is a class participation grade). I ended up doing work for OTHER classes during lecture.
This class would be a pretty good grade booster if she didn't make every exam worth 30-40 points when each exam before the final is worth 15% of our grade -- it doesn't seem like a big amount, but it will add up.
#tCFfall2021

Maria provides a lot of resources and is very straightforward about the expectations for this class. I never had to read the textbook for this class, as Maria's PowerPoints and notes were sufficient enough. The homework problems on Achieve is very helpful to understanding the content as well. In lecture, you do practice problems in small groups, and then go over them, although Maria would take way too long to explain the problems and never finish. If you took AP Stat in high school and did well, this class will be very easy. She doesn't teach you how to use the stat functions in the calculator, but knowing that is very helpful instead of knowing the R code. The lab is where you learn to use R, and can be done with no programming experience if you watch the prelab videos. Take this over STAT 2120 if you can. #tCFfall2021

This is a really great survey of statistics with an applied biological lens. I don't think you need to take this class AND another introduction to statistics because the class is 98% statistics and 2% biology (all of the problems have bio applications, but you only learn a couple topics that are, conceptually, a true intersection between biology and statistics such as specificity, sensitivity, and PPV).

During a COVID semester, the class was set up in a way where there were a couple asynchronous videos to watch a week with topic quizzes for each on gradescope (quiz material came directly from the videos). The topic videos were about an hour each, but I watched them sped up and took notes, so it probably took me 2 hours total to watch the videos, take notes, and finish the quizzes every week. There was also a lab component where you watch a lecture tutorial before Tuesday's lab. The lab portion of the class probably took about 1.5-2 hours a week by the time I watched the tutorial and completed the lab with my group. Besides a 10-15 question weekly homework, the final portion of the class consisted of synchronous groupwork on Thursdays that takes up the whole "lecture" period.

Overall, this is one of those classes that looks like it has a ton of work, but once you get on a schedule, it is very routine and not that bad to complete. Maria and the TAs were very nice, and questions on Piazza were always answered pretty quickly.

took this it sucked!! i wouldn't say it was "hard" material wise, but the amount of work it took from week to week was just too much and the lectures are so hard to get through. by the end of the semester i had to watch them on 4x-5x speed to be able to get myself to pay attention. we had weekly homework assignments, daily quizzes, lab, lab prep video (around an hour), lecture videos (around an hour and a half), a lab project, and 3 exams throughout the semester. if you have to do this for a pre-req, you'll get through it, but otherwise i'd recommend taking 1601 or something.

I took this class since I saw that a lot of pre-med students typically do. It was probably the easiest class I had this semester, very doable for a first-year student. During this online semester, Tuesdays were asynchronous and basically OH while Thursdays involved about a half-hour of group-work and then the rest of class was her going over the problems from said group work. The exams are fair and shouldn't be too challenging if you go over the slides and post-lecture "quizzes". Since our tests were open-note this semester, having a well-organized "cheat-sheet" on hand helped too. Labs are where students learn to use R for analysis. If you have any programming experience at all, it should be a breeze. And if you don't have programming/coding experience, it still shouldn't be too hard since Prof.Ferrara makes the instructions very clear.

I didn't go to OH at all so I didn't have much interaction with the professor, but she seems really nice. She was super prompt about responding to questions on Piazza, and I'm sure a lot of students appreciated that.

I recommend taking this if you're looking for an intro stats course and/or want to get some basic familiarity with using RStudio.

#tCFspring2021

I enjoyed this class. It was definitely challenging, even in covid, so don't take it unless you are willing to put a lot of work in. Maria is a very thorough lecturer and a nice person. She teaches you to code in labs, which I found to be very interesting. Maria is very much the professor who's syllabus is final. She does not round (even if you are 0.01 away) and her tests are challenging. That being said, getting an A level grade or even a B+ is very much achievable.
#tCFspring2021