SDS X57 SDS 357 Case Studies in Data Science 3 Hours
3 Lecture Hours 0 Lab Hours
Explore advanced case studies in data science, with an emphasis on the full data analysis pipeline. Examine data collection, identification of data limitations; data privacy; data preparation and exploration; building, using, and evaluating models; creating data products; and communication and persuasion with data. The equivalent of three lecture hours a week for one semester.
Pre/Corequisites: Statistics and Data Sciences 334 with a grade of at least C-; credit with a grade of at least C- or registration for Statistics and Data Sciences 336.
Grading: Student Option
Repeatable for credit: No
Academic Level: Upper Division