STATS 202A
Statistics Programming
Description: Lecture, three hours. Topics include programming environments/languages such as UNIX, UNIX shell, Python, R, and Processing and data technologies/formats such as relational databases/SQL and XML, with emphasis on complex data types, including large collections of textual data, GPS traces, network logs, and various online sources. S/U or letter grading.
Units: 4.0
Units: 4.0
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Most Helpful Review
Fall 2023 - Very lowkey class where you learn about programming in R (and a bit of C). The homeworks felt very practical, and the (individual) final project was pretty fun too, since you get to choose a dataset you want to analyze. The professor is super chill too! I would recommend if you want to learn about R, but the lectures do get a bit dull since it's literally just about different functions and libraries in R and how to use them
Fall 2023 - Very lowkey class where you learn about programming in R (and a bit of C). The homeworks felt very practical, and the (individual) final project was pretty fun too, since you get to choose a dataset you want to analyze. The professor is super chill too! I would recommend if you want to learn about R, but the lectures do get a bit dull since it's literally just about different functions and libraries in R and how to use them
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