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
CollegeAvoid her at all costs! she's sweet lady but a terrible teacher who makes the course unnecessarily hard. The grade is based on two midterms(20%x2) and a final(50%).The midterms were very tricky. Prepare to face 50 ridiculous questions for the final. Students have been complaining about the unfairness of the questions for years but she doesn't care.
The exams are not related to the lectures. If this is a major course for you and you want to get an A, RUN!!!! Exams are worth 90% of your grade, and no way to get a good grade on exams.
Took PSTAT10 with her over Fall quarter and was a terrible decision. She is a very nice lady, but the way the grading in the class was structured was very poor. The final was all MCQ and worth 50% of our grade. Final was completely different material than what she goes over in lecture. Worse class/grade I had so far at UCSB.
Very nice lady, but vast majority of the grade was the two midterms and the final. Midterms weren't bad. Final, while said to be cumulative, was mostly the last few lectures and much harder. She curved it so I ended up with a B- in the class but as the final was worth 50% it tanked my grade from an A to a C+ before the curve. Be ready to work.
The final was 50% of the grade and was quite difficult. If you keep up with the homework, worksheets, and lectures then the class isn't too difficult. The final was tough but she curved the grade. I personally wouldn't go to the professors office hours, go to the TA instead.
Cool prof, spoke to her during the quarter in OH/before class. Given my grade though, it wasn't her teaching style, but the 2 midterms+intimidating 50% final w/ detail-heavy questions which make up a majority of your grade that makes it tough (as others said). She curves but unless you want a challenging intro to R/data science, I'd look elsewhere