2020 Fall
DATA C8 001 - LEC 001
Formerly Computer Science C8/Statistics C8/Information C8
Foundations of Data Science
David Wagner, Swupnil Kumar Sahai
Aug 26, 2020 - Dec 11, 2020
Mo, We, Fr
11:00 am - 11:59 am
Internet/Online
Class #:33187
Units: 4
Instruction Mode:
Remote Instruction
Time Conflict Enrollment Allowed
Semester in the Cloud
Offered through
Data Science
Current Enrollment
Total Open Seats:
6
Enrolled: 1344
Waitlisted: 65
Capacity: 1350
Waitlist Max: 0
No Reserved Seats
Hours & Workload
7 hours of outside work hours per week, 2 hours of instructional experiences requiring special laboratory equipment and facilities per week, and 3 hours of instructor presentation of course materials per week.
Final Exam
MON, DECEMBER 14TH
11:30 am - 02:30 pm
Other classes by David Wagner
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.
Class Notes
*Lecture will be offered fully remotely both synchronously and asynchronously.
*Labs will be offered fully remotely.
*Lab sections will be synchronous.
* This class uses a 999 section. In addition to the lecture, you must enroll in LAB 999L to enroll in the course. Selection.. show more
*Labs will be offered fully remotely.
*Lab sections will be synchronous.
* This class uses a 999 section. In addition to the lecture, you must enroll in LAB 999L to enroll in the course. Selection.. show more
*Lecture will be offered fully remotely both synchronously and asynchronously.
*Labs will be offered fully remotely.
*Lab sections will be synchronous.
* This class uses a 999 section. In addition to the lecture, you must enroll in LAB 999L to enroll in the course. Selection and assignment into the actual discussions happen outside of CalCentral. Instructors will provide more information at a later time.
*Time conflicts with this class will be allowed. However, the class will NOT be providing an alternate final exam time and students must make their own arrangements regarding final exam conflicts. Students should only sign up for a conflicting course if the other course has no final exam or offers an alternate final exam time.
NOTE: Faculty is NOT obligated to accommodate conflicting final exam times or project due dates.
* All seats will be offered under the DATA course offering. No seats will be available under CompSci, Stat, or Info.
*The 50 seats reserved for Students with Enrollment Permission are only for New Undergraduate Transfer Students Intended Data Science show less
*Labs will be offered fully remotely.
*Lab sections will be synchronous.
* This class uses a 999 section. In addition to the lecture, you must enroll in LAB 999L to enroll in the course. Selection and assignment into the actual discussions happen outside of CalCentral. Instructors will provide more information at a later time.
*Time conflicts with this class will be allowed. However, the class will NOT be providing an alternate final exam time and students must make their own arrangements regarding final exam conflicts. Students should only sign up for a conflicting course if the other course has no final exam or offers an alternate final exam time.
NOTE: Faculty is NOT obligated to accommodate conflicting final exam times or project due dates.
* All seats will be offered under the DATA course offering. No seats will be available under CompSci, Stat, or Info.
*The 50 seats reserved for Students with Enrollment Permission are only for New Undergraduate Transfer Students Intended Data Science show less
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