Spring 2021

DATA C100 001 - LEC 001

Formerly Statistics C100/Computer Science C100

Principles & Techniques of Data Science

Andrew Bray, Joseph E. Gonzalez

Jan 19, 2021 - May 07, 2021

Tu, Th

09:30 am - 10:59 am

Internet/Online

Class #:31296

Units: 4

Instruction Mode: Pending Review
Asynchronous Instruction
Time Conflict Enrollment Allowed

Offered through Data Science Undergraduate Studies

Current Enrollment

Total Open Seats: 6

Enrolled: 1021

Waitlisted: 13

Capacity: 1027

Waitlist Max: 250

No Reserved Seats

Also offered as: STAT C100

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

WED, MAY 12TH

11:30 am - 02:30 pm

Other classes by Andrew Bray

Other classes by Joseph E. Gonzalez

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.

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.