2020 Fall
COMPSCI C100 001 - LEC 001
Formerly Statistics C100/Computer Science C100
Principles & Techniques of Data Science
Anthony D Joseph, Fernando Perez
Aug 26, 2020 - Dec 11, 2020
Tu, Th
09:30 am - 10:59 am
Internet/Online
Class #:33473
Units: 4
Instruction Mode:
Remote Instruction
Semester in the Cloud
Offered through
Electrical Engineering and Computer Sciences
Current Enrollment
Total Open Seats:
0
Enrolled: 0
Waitlisted: 0
Capacity: 0
Waitlist Max: 0
No Reserved Seats
Also offered as:
DATA C100
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
TUE, DECEMBER 15TH
03:00 pm - 06:00 pm
Other classes by Anthony D Joseph
Other classes by Fernando Perez
+ 1 Independent Study
Course Catalog Description
In this course, students will explore the data science lifecycle, including question formulation, data collection and cleaning, exploratory data analysis and visualization, statistical inference and prediction, and decision-making. This class will focus on quantitative critical thinking and key principles and techniques needed to carry out this cycle. These include languages for transforming, querying and analyzing data; algorithms for machine learning methods including regression, classification and clustering; principles behind creating informative data visualizations; statistical concepts of measurement error and prediction; and techniques for scalable data processing.
Class Notes
Interested students need to enroll into DATA C100 for Fall 2020 semester.
Rules & Requirements
Credit Restrictions
Students will receive no credit for DATA C100\STAT C100\COMPSCI C100 after completing DATA 100. A deficient grade in DATA C100\STAT C100\COMPSCI C100 may be removed by taking DATA 100.
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