2023 Fall
DATA C200 001 - LEC 001
Formerly Statistics C200C/Computer Science C200A
Principles and Techniques of Data Science
Narges Norouzi, Fernando Perez
Class #:24908
Units: 4
Instruction Mode:
In-Person Instruction
Offered through
Data Science Undergraduate Studies
Current Enrollment
Total Open Seats:
1
Enrolled: 39
Waitlisted: 0
Capacity: 40
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
THU, DECEMBER 14TH
11:30 am - 02:30 pm
Wheeler 150
Pimentel 1
Dwinelle 155
Lewis 100
North Gate 105
Mulford 159
Evans 60
Tan 180
Wheeler 102
Cory 237
Wheeler 30
Cory 241
Cory 285
Morgan 101
Other classes by Narges Norouzi
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