professor
Gabriel Young

Dec 2020

Solid class for the most part. Take if you want to learn R, don't if you don't want to learn R. Prof Young is better at teaching the topics more statistical in nature and less good at teaching the topics more computer science-y in nature. The class doesn't demand much time is nice. The hardest part is the problem sets, which are essentially googling a bunch of stuff online and playing around with it until it works.

Aug 2020

I took this course in the summer (one session), which was nearly not enough time to cover the required material. However, Professor Young went out of his way to present the material in the most digestible way possible. Maybe the student below did not realize how difficult this class was going to be or how little time we had to go through the course, but it is a grossly unhelpful and outright mean review. Stats is NOT easier than calc I or III. It is a tough course, dammit. Gabriel Young was great. I'm sure he's even better as a teacher during the regular school year. The exams were fair and somewhat difficult. The mean for the midterm was 74.8; the final was a take-home, and the mean was 84.1. Homework35% Lab10% Midterm25% Final30%

Aug 2020

I took this course in the summer (one session), which was nearly not enough time to cover the required material. However, Professor Young went out of his way to present the material in the most digestible way possible. Maybe the student below did not realize how difficult this class was going to be or how little time we had to go through the course, but it is a grossly unhelpful and outright mean review. Stats is NOT easier than calc I or III. It is a tough course, dammit. Gabriel Young was great. I'm sure he's even better as a teacher during the regular school year. The exams were fair and somewhat difficult. The mean for the midterm was 74.8; the final was a take-home, and the mean was 84.1. Homework35% Lab10% Midterm25% Final30%

Jul 2020

AVOID LIKE THE PLAGUE. RUN.

May 2018

tldr: Great Professor. Nothing much more to say. Dr.Young is an extremely solid professor. He is able to communicate complicated statistical concepts and dry mathematical derivations in a concise and dare I say interesting manner. He has mastered the ability to quickly explain the small math tricks he uses without getting completely bogged down. Unfortunately, a lot of the material is inherently boring, so this class won't change your life or major, but it gives you a solid understanding of statistics and thinking problematically. Honestly, I learned more about probability theory in this class then I did in probability theory. The best thing about Dr. Young's class is the textbook. Casella and Berger are extremely clear and rigorous. Their examples are fully worked and challenging enough such that understanding all the examples guarantee that you'll do well on the homework and exams. Also the textbook is used in PhD level courses so you can be a little confident in the rigor. Finally, don't worry about him scaring you that he doesn't curve the test scores. HE MOST DEFINITELY DOES. Also if you're someone who struggles with math, you might want to take Calc IV before this course.

May 2017

This was a new course for the Stats department that's before Applied Linear Regression. Young is a nice guy and did a really good job of explaining the code. He also posts the slides, so if you were't really paying attention in class or didn't get it you could go over it on your own. There really wasn't a lot of math involved in the course and anything that would require a background in stats (even intro level concepts) he gives you the code for and/or is happy to explain. He held OH twice a week which were usually pretty helpful although a little busy since he's was teaching a lot of courses. The TA for the course, Susanna, was amazing and was better at debugging than he was which saved a lot of people in the class, but I don't think she'll be returning next year. Overall, I'd say this course was a great intro to R and not too time consuming. The course was pretty collaborative so when we had labs/homeworks it wasn't too tough to find a group of other people to expedite assignments. Although Intro is a prereq, I really think even high school level stats will get you through the course.

Apr 2017

Professor Young... what a guy! A very rare gem in the Statistics department-- he really cares about his students, and you can tell very easily. He holds multiple office hours a week to help kids with homework, and is extremely kind and accommodating. He is an extremely sweet guy, and very honest and genuine. Additionally, he speaks clearly, is receptive to his students and has a slideshow prepared for every day. Statistics is not always the most interesting topic-- and Professor Young KNOWS this. In fact, during lecture, he will often say things like: "Sorry, I know this is super boring. But it is also really important!" However, for the really complicated things, he doesn't always explain in the best way. For example, he will put a really mathematically intense equation on the board and then say, "Well I hope that makes sense." Overall though, he is really a great professor, and probably the best one in the Stats department.