Spring 2023
DATA C200 001 - LEC 001
Formerly Statistics C200C/Computer Science C200A
Principles and Techniques of Data Science
Lisa Yan, Narges Norouzi
Class #:25478
Units: 4
Instruction Mode:
In-Person Instruction
Time Conflict Enrollment Allowed
Offered through
Data Science Undergraduate Studies
Current Enrollment
Total Open Seats:
24
Enrolled: 86
Waitlisted: 0
Capacity: 110
Waitlist Max: 0
No Reserved Seats
Also offered as:
STAT C200C
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
THU, MAY 11TH
08:00 am - 11:00 am
Evans 10
Wheeler 150
Dwinelle 155
Dwinelle 145
Birge 50
Genetics & Plant Bio 100
Latimer 120
Physics Building 4
Barker 101
Dwinelle 187
Cory 241
Cory 247
Cory 289
Other classes by Lisa Yan
Other classes by Narges Norouzi
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