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
Collegetook 120c online over the summer. overall good class, attendance was mandatory which sucked but otherwise fine
131 with coburn was probably one of the best classes i've had at UCSB. you can tell she really cares about the material and how passionate she is. the project was also super useful
Sang is a considerate professor, and taught the course content in a useful, albeit monotonous fashion. A lot of new content to cover than most PSTAT courses, with weekly quizzes in lecture (open note!) and pointless sections, and while assignments were certainly doable some programs chosen were quite difficult to work with (especially the project).
Lectures were very slow and dry. Content seemed disorganized and jumped around topics week by week. Quiz every Thursday in person at the end of class. And there was a final group project, but it was just really tedious because of the online system we had to use. Overall very disappointing for a class I thought would be really interesting.
Coburn is very sweet and understanding. I will say sometimes the lectures can sometimes be hard to follow, but things like her posting handwritten notes I found quite helpful. Tests/quizzes aren't too bad
A mix of semi-lackluster lectures plus a bad TA (got unlucky, my TA was very dull and hard to understand) made me learn so little in this class, self-studying was much more effective. However, she's likely your best bet for the 120 series given decent tests and caring/kind attitude, even if she can be difficult to reach occasionally.