ENVIRON 175
Programming with Big Environmental Datasets
Description: Lecture, three hours. Requisite: Life Sciences 40 or Statistics 12 or 13. Students gain practical experience conducting empirical research by learning how to program using R. Modern empirical research often requires use of powerful statistical software like R. This programming language shares many similarities with other statistical programs, providing students with valuable labor-market skill. P/NP or letter grading.
Units: 4.0
Units: 4.0
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Most Helpful Review
Fall 2025 - I was so scared of taking this class, but with Alan it wasn't bad at all. He starts from absolutely zero coding knowledge and works you up from there, so if you haven't taken a coding class before (like I had) it's not bad. There are a lot of assignments a week, but they're all pretty short, and because of it there's a lot you can not do and still get full credit. The midterms and final project were definitely more challenging, but not impossible. He's super helpful through slack and stuff, so not bad. Highly recommend taking the class with Alan if you can.
Fall 2025 - I was so scared of taking this class, but with Alan it wasn't bad at all. He starts from absolutely zero coding knowledge and works you up from there, so if you haven't taken a coding class before (like I had) it's not bad. There are a lot of assignments a week, but they're all pretty short, and because of it there's a lot you can not do and still get full credit. The midterms and final project were definitely more challenging, but not impossible. He's super helpful through slack and stuff, so not bad. Highly recommend taking the class with Alan if you can.
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