2023 Fall
DATA C8 001 - LEC 001
Formerly Computer Science C8/Statistics C8/Information C8
Foundations of Data Science
Swupnil K Sahai, Muhammad R Khan
Class #:24696
Units: 4
Instruction Mode:
In-Person Instruction
This class is audio and/or visually recorded
Offered through
Data Science Undergraduate Studies
Current Enrollment
Total Open Seats:
-63
Enrolled: 1263
Waitlisted: 0
Capacity: 1200
Waitlist Max: 0
No Reserved Seats
Also offered as:
STAT C8
Hours & Workload
3 hours of instructor presentation of course materials per week, 7 hours of outside work hours per week, and 2 hours of instructional experiences requiring special laboratory equipment and facilities per week.
Final Exam
MON, DECEMBER 11TH
08:00 am - 11:00 am
RSF Fieldhouse
Wheeler 150
Hearst Gym 220
Hearst Gym 237
Hearst Gym 234
Cory 247
Wurster 102
Wurster 101
Wheeler 202
Wheeler 130
Moffitt Library 102
Moffitt Library 101
Other classes by Swupnil K Sahai
Other classes by Muhammad R Khan
Course Catalog Description
Foundations of data science from three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from some real-world phenomenon, how does one analyze that data so as to understand that phenomenon? The course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. It delves into social and legal issues surrounding data analysis, including issues of privacy and data ownership.
Rules & Requirements
Credit Restrictions
Students will receive no credit for DATA C8\COMPSCI C8\INFO C8\STAT C8 after completing COMPSCI 8, or DATA 8. A deficient grade in DATA C8\COMPSCI C8\INFO C8\STAT C8 may be removed by taking COMPSCI 8, COMPSCI 8, or DATA 8.
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