Overview and use of data science tools in R and/or Python for data retrieval, analysis, visualization, reproducible research, and automated report generation. Case studies will illustrate the practical use of these tools.
4
UnitsOptional
Grading1, 2, 3
PasstimeNone
Level LimitLetters and science
CollegeDr. Coburn is a really sweet lady and posts all her lecture videos online for 120C. The exams are tough and you won't find the answers in hw or anything, but doable if you watch all the lecture videos in entirety. Pay close attention to hw because it is graded with scrutiny. She is super caring and helpful in office hours so definitely go.
confusing lectures, doesnt teach and doesnt respond to emails. the midterm was hard (way too hard for undergrad class) and you dont really learn anything so if youre a stats major pls dont take her
Her lectures were pretty incomprehensible and hard to follow. She will literally never respond to emails and TAs can't get a hold of her. Homework and quizzes were graded on completion which helped your grade but did not help you learn. The midterm was extremely difficult that she had to make the final exactly like the review and midterm.
She was really organised for this class and fair and it was pretty easy to do well. 5 homeworks - one due every two weeks worth 10% each, and you were allowed submit up to two homeworks up to a week late with no penalty. Final project worth 50% which you could do on whatever and she tells you all about that right at the start.
I took Coburn for 120A my junior year and didn't love her as I felt like she didn't teach us enough. This course, on the other hand, she teaches very well. It's a lot of fun as 50% of the class is working on a final project and the rest is homeworks that help you with that project. She's genuinely fantastic at teaching this class.
She is a fantastic professor in all aspects. My only qualm with her is her unresponsiveness over email, but this is mostly because I don't go to class :)