Students learn the basics of data acquisition, organization, and analysis; acquire hands-on experience with statistical estimation and inference, data modelling, and visualization; and explore machine learning applications, data privacy, and ethics.
- See the Catalog Information page for the official description of the course and its learning outcomes.
- See the Syllabus page for information and policies specific to this offering of the course.
- See the Calendar page for readings, assignments, labs, etc.
- See the textbook Introductory Data Science
I would like to thank the University of California, Berkeley Division of Computing, Data Science, and Society for their support in providing materials for this course.