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
CollegeLecture
Sections
Not that bad, I feel like a lot of people on here underrate her.
Dr. Ravat's teaching style and the course content are manageable, but she is not the most easily accessible or considerate professor. She has a clear passion for data science, but her email policy is quite strict, and expresses a greater ego as the course progresses. Not bad, but if given the option I would prefer to take it with somebody else.
Professor Ravat was nice. She offered two easy extra credit opportunity & let us retake one of her quizzes. Although quizzes & final account for half of our grade, the other half is basically free points (hw & ws). My main critique is that I wish she had provided the answers to the final review sheet. Just do the worksheets and you should be fine!
Dr. Ravat was actually a pretty nice and caring professor, she has definitely improved a lot since some of these negative rate my prof reviews were written. Very fair grading and class structure. It was super cool that she taught SQL in this course as well. She also really seemed to care about her students and is very passionate about DS
Loved how she set up the course and the section and homeworks were very helpful for learning the material and doing well on the quizzes.
Overall great teacher and very nice!