Spring 2024

DATA 200S 001 - LEC 001

Principles and Techniques of Data Science

Joseph E. Gonzalez, Narges Norouzi

Jan 16, 2024 - May 03, 2024

Tu, Th

11:00 am - 12:29 pm

Internet/Online

Class #:26479

Units: 3

Instruction Mode: Online
Time Conflict Enrollment Allowed

Offered through Data Science Undergraduate Studies

Current Enrollment

Total Open Seats: 6

Enrolled: 24

Waitlisted: 0

Capacity: 30

Waitlist Max: 0

Open Reserved Seats:

6 reserved for Molecular Science and Software Engineering Students

3 hours of instructor presentation of course materials per week, 5 to 4 hours of outside work hours per week, 0 to 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.

Other classes by Joseph E. Gonzalez

Other classes by Narges Norouzi

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 DATA 200S after completing DATA C100, or DATA C200. A deficient grade in DATA 200S may be removed by taking DATA C200.