2020 Fall

DATA C200 999 - DIS 999

Formerly Statistics C200C/Computer Science C200A

Principles and Techniques of Data Science

Aug 26, 2020 - Dec 11, 2020

12:00 am

Internet/Online

Class #:33718

Units: 4

Instruction Mode: Remote Instruction
Time Conflict Enrollment Allowed

Offered through Data Science

Current Enrollment

Total Open Seats: 0

Enrolled:

Waitlisted:

Capacity:

Waitlist Max:

No Reserved Seats

Also offered as: DATA C200

7 hours of outside work hours per week, 1 hours of instructional experiences requiring special laboratory equipment and facilities per week, 1 hours of the exchange of opinions or questions on course material per week, and 3 hours of instructor presentation of course materials per week.

Course Catalog Description

Explores the data science lifecycle: question formulation, data collection and cleaning, exploratory, analysis, visualization, statistical inference, prediction, and decision-making. Focuses on quantitative critical thinking and key principles and techniques: languages for transforming, querying and analyzing data; algorithms for machine learning methods: regression, classification and clustering; principles of informative visualization; measurement error and prediction; and techniques for scalable data processing. Research term project.

Rules & Requirements

Credit Restrictions

Students will receive no credit for STAT C200C\COMPSCI C200A\DATA C200 after completing DATA C100, or STAT 200C. A deficient grade in STAT C200C\COMPSCI C200A\DATA C200 may be removed by taking STAT 200C.