2022 Fall
DATA C200 001 - LEC 001
Formerly Statistics C200C/Computer Science C200A
Principles and Techniques of Data Science
William Fithian, Fernando Perez
Class #:25196
Units: 4
Instruction Mode:
In-Person Instruction
Time Conflict Enrollment Allowed
Offered through
Data Science Undergraduate Studies
Current Enrollment
Total Open Seats:
22
Enrolled: 108
Waitlisted: 0
Capacity: 130
Waitlist Max: 30
No Reserved Seats
Hours & Workload
3 hours of instructor presentation of course materials per week, 7 hours of outside work hours per week, 1 hours of instructional experiences requiring special laboratory equipment and facilities per week, and 1 hours of the exchange of opinions or questions on course material per week.
Final Exam
TUE, DECEMBER 13TH
03:00 pm - 06:00 pm
RSF Fieldhouse
Valley Life Sciences 2050
Social Sciences Building 170
Other classes by William Fithian
Other classes by Fernando Perez
Course Catalog Description
Explores the data science lifecycle: question formulation, data collection and cleaning, exploratory, analysis, visualization, statistical inference, prediction, and decision-making. Focuses on quantitative critical thinking and key principles and techniques: languages for transforming, querying and analyzing data; algorithms for machine learning methods: regression, classification and clustering; principles of informative visualization; measurement error and prediction; and techniques for scalable data processing. Research term project.
Rules & Requirements
Credit Restrictions
Students will receive no credit for DATA C200\COMPSCI C200A\STAT C200C after completing DATA C100.
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
No Reserved Seats
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials