Overview of data science key concepts and the use of tools for data retrieval, analysis, visualization, and reproducible research. Topics include an introduction to inference and prediction, principles of measurement, missing data, and notions of causality, statistical traps, and concepts in data ethics and privacy. Case studies illustrate the importance of domain knowledge.
4
UnitsOptional
Grading1, 2
PasstimeNone
Level LimitLetters and science
CollegeProf Abuzaid is a great professor. I took him winter and spring which I did learned a lot from his classes. Definitely recommend him so take him! Great professor
I don't usually do ratings but I had to for this prof. Very genuine, respectable professor. You can tell he is passionate about his job. No exams, 4 labs, 4 homework and final project the whole semester. Highly recommend taking his class.
I would recommend everyone take a class with Professor Abuzaid. He accommodates students at any level while not feeling condescending. He is very open to helping during office hours and will work through topics carefully to ensure understanding. Overall, an amazing professor I can't recommend enough.
Prof. Abuzaid is incredibly approachable and helpful! Although I've never been one to attend office hours regularly, I visited his office twice, and both times he was very kind and took the time to thoroughly explain everything. I would definitely take his class again.
Professor Abuzaid is one of the most patient and caring professors I've had. He was always very helpful during office hours and responded to my emails promptly. He also provided valuable guidance to our final project team, helping us clean up the data efficiently.
Had both 100 and 126. Bro never updated grades. When asked for practice midterm, his response "No, that won't be necessary" had me gagged. TAs were confused and overworked. He REFUSED to post lecture materials ahead for us to follow, so his lectures were impossible. Didn't align with textbook material, so you can't even prep ahead. Bad teacher.