2025 Fall
DATA C8 001 - LEC 001
Formerly Computer Science C8/Statistics C8/Information C8
Foundations of Data Science
Jeremy Sanchez
Class #:24277
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:
1177
Enrolled: 323
Waitlisted: 62
Capacity: 1500
Waitlist Max: 200
Open Reserved Seats:
200 reserved for Undergraduate Students: New First Year Admits in Data Science Major
60 reserved for Data Science Majors: New Transfers
400 reserved for New First Year Undergraduate Students
148 reserved for College of Letters & Sciences Undeclared Students with 1-4 Terms in Attendance
150 reserved for New Undergraduate Transfer Students
25 reserved for Undergraduate Students: Statistics Majors - New Transfer Admits
27 reserved for Cognitive Science Majors
22 reserved for Public Health Majors
95 reserved for Civil Engineering Majors
10 reserved for Industrial Engineering & Operations Research Majors in their first Term at Berkeley
40 reserved for Students with Enrollment Permission
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.
Other classes by Jeremy Sanchez
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
Reserved Seating For This Term
Current Enrollment
Open Reserved Seats:
200 reserved for Undergraduate Students: New First Year Admits in Data Science Major
60 reserved for Data Science Majors: New Transfers
400 reserved for New First Year Undergraduate Students
148 reserved for College of Letters & Sciences Undeclared Students with 1-4 Terms in Attendance
150 reserved for New Undergraduate Transfer Students
25 reserved for Undergraduate Students: Statistics Majors - New Transfer Admits
27 reserved for Cognitive Science Majors
22 reserved for Public Health Majors
95 reserved for Civil Engineering Majors
10 reserved for Industrial Engineering & Operations Research Majors in their first Term at Berkeley
40 reserved for Students with Enrollment Permission
Terms in Attendance:
Undergraduate Classifications Information
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials