Fundamentals of programming for data science using R. Descriptive statistics, distributions and graphics in R. Relational database management systems including the relational model, relational algebra, database design principles and data manipulation using SQL. An introduction to the concept of big data.
5
UnitsOptional
Grading1, 2
PasstimeNone
Level LimitLetters and science
CollegeThe issue is not in the way she teaches or the organization of the course, but rather the structure of tests themselves which were weighted so highly. She tries to trip you up on syntax and tests little things you can only get from memorizing things in lectures. It felt more-so like a memorization test than anything.
Overall really nice prof, cares to get to know her students. The disrespect doesn't make sense on here
Great prof over all, really cares about her students well being. Talked about wanting to help students get into research and was very willing to give career advice outside of class time. You can tell teaching is her passion, and although her style isnt for everyone I think she was great. Don't understand the negative comments, it's unwarranted.
The only thing that mattered about this class was the weekly two sections. I found her lecture to be hard to understand but easy to learn on my own or through my TA. The majority of the grade is fluff which is nice however I felt unprepared for the final which is our only test. Take her class though because I heard the other ones are harder.
She's fine. If you are planning to take pstat 10, I would recommend her. She talks a lot about how to become a data engineer, which is not so related to this course but related to your future job.
Professor Ravat's PSTAT 10 course was well-structured and easy to do well in. Section attendance is mandatory and very helpful. The only issue is her (optional) lectures are very boring and often not helpful. I suspect this may change in the future, so I see no issue with enrolling in her courses.