Spring 2025
DATA C200 001 - LEC 001
Formerly Statistics C200C/Computer Science C200A
Principles and Techniques of Data Science
Narges Norouzi, Joshua Grossman
Class #:26443
Units: 4
Instruction Mode:
In-Person Instruction
Offered through
Data Science Undergraduate Studies
Current Enrollment
Total Open Seats:
-3
Enrolled: 33
Waitlisted: 0
Capacity: 30
Waitlist Max: 0
No Reserved Seats
Hours & Workload
3 hours of instructor presentation of course materials per week, 8 to 7 hours of outside work hours per week, 0 to 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
FRI, MAY 16TH
11:30 am - 02:30 pm
Wheeler 150
Pimentel 1
Dwinelle 155
Valley Life Sciences 2050
North Gate 105
Other classes by Narges Norouzi
Other classes by Joshua Grossman
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