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
Collegeeasy class until the final
Honestly, she was not as bad as people online made her seem. The content did get confusing at times, and her teaching was not always great, but its still very manageable to get an A in the class!
she is a very caring professor, she gives you all the material you need to succeed. She makes everything very accessible and she honestly wants you to do better. I think it's up to you if you want to do good or not.
The 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.