STATS 20
Introduction to Statistical Programming with R
Description: Lecture, three hours; discussion, one hour. Enforced requisite: one course from course 10, 12, 13, 15, Economics 41, or Psychology 100A, or score of 4 or higher on Advanced Placement Statistics Examination. Designed to prepare students for upper-division work in statistics. Introduction to use of R, including data management, simple programming, and statistical graphics in R. P/NP or letter grading.
Units: 4.0
Units: 4.0
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Most Helpful Review
Summer 2020 - Professor Lew is absolutely fantastic. Having come in with little to no programming experience (AP CS in high school), she makes learning R fun. Especially during COVID, she has been so understanding of students' struggles (e.g. recording lectures, providing opportunities for up to 10% extra credit, dropping lowest grades). Though she might seem intimidating, I would recommend anyone to attend her office hours at least once: she has so much professional experience in the stats field (i.e. not just as a professor) as well as so much wisdom to offer. This class is primarily based on projects and assignments, and unlike the other professor who teaches Stats 20, there are no formal exams. I'd say that it is very easy to earn a decent grade if you put your best foot forward; even if she were not as lenient because of the pandemic, I'd assume it'd be the same. Although I haven't received my final grade yet, I'm very confident about my performance in her class because she makes it clear how to earn points/what she's looking for (tip: don't over analyze instructions!). Some other notes: (1) there is no curve for the course, though I don't see when one would be needed and (2) don't get the recommended textbook. Because of her, I feel like I have a solid understanding of R and have decided to pursue a minor in stats! I'd love to take any future courses with her.
Summer 2020 - Professor Lew is absolutely fantastic. Having come in with little to no programming experience (AP CS in high school), she makes learning R fun. Especially during COVID, she has been so understanding of students' struggles (e.g. recording lectures, providing opportunities for up to 10% extra credit, dropping lowest grades). Though she might seem intimidating, I would recommend anyone to attend her office hours at least once: she has so much professional experience in the stats field (i.e. not just as a professor) as well as so much wisdom to offer. This class is primarily based on projects and assignments, and unlike the other professor who teaches Stats 20, there are no formal exams. I'd say that it is very easy to earn a decent grade if you put your best foot forward; even if she were not as lenient because of the pandemic, I'd assume it'd be the same. Although I haven't received my final grade yet, I'm very confident about my performance in her class because she makes it clear how to earn points/what she's looking for (tip: don't over analyze instructions!). Some other notes: (1) there is no curve for the course, though I don't see when one would be needed and (2) don't get the recommended textbook. Because of her, I feel like I have a solid understanding of R and have decided to pursue a minor in stats! I'd love to take any future courses with her.
Most Helpful Review
Summer 2025 - This class was pretty light; even though there was technically assigned class times and discussion sections, I didn't go to most of them because I was a camp counselor, and it didn't end up mattering too much. I was able to learn most of the content just reading the slides. The final project was really open-ended where you could make anything you wanted as long as it included R programming. I do remember the exams being a bit tricky, especially because you had to code on paper, without R studio letting us know if the code compiled. But overall, the class was manageable and I felt like I really learned a lot.
Summer 2025 - This class was pretty light; even though there was technically assigned class times and discussion sections, I didn't go to most of them because I was a camp counselor, and it didn't end up mattering too much. I was able to learn most of the content just reading the slides. The final project was really open-ended where you could make anything you wanted as long as it included R programming. I do remember the exams being a bit tricky, especially because you had to code on paper, without R studio letting us know if the code compiled. But overall, the class was manageable and I felt like I really learned a lot.
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