Spring 2021
COMPSCI C200A 001 - LEC 001
Formerly Statistics C200C/Computer Science C200A
Principles and Techniques of Data Science
Andrew Bray, Joseph E. Gonzalez
Jan 19, 2021 - May 07, 2021
Tu, Th
09:30 am - 10:59 am
Internet/Online
Class #:25924
Units: 4
Instruction Mode:
Pending Review
Time Conflict Enrollment Allowed
Offered through
Electrical Engineering and Computer Sciences
Current Enrollment
Total Open Seats:
-9
Enrolled: 9
Waitlisted: 0
Capacity: 0
Waitlist Max: 0
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
WED, MAY 12TH
11:30 am - 02:30 pm
Other classes by Andrew Bray
Other classes by Joseph E. Gonzalez
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.
Class Notes
Interested students need to enroll into DATA C200.
Rules & Requirements
Requisites
- Students not in the Master of Engineering Program
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