2020 Fall

DATA C100 999L - LAB 999L

Formerly Statistics C100/Computer Science C100

Principles & Techniques of Data Science

Aug 26, 2020 - Dec 11, 2020

12:00 am

Internet/Online

Class #:33472

Units: 4

Instruction Mode: Remote Instruction
Time Conflict Enrollment Allowed
Semester in the Cloud

Offered through Data Science

Current Enrollment

Total Open Seats: 237

Enrolled: 1138

Waitlisted: 0

Capacity: 1375

Waitlist Max: 0

No Reserved Seats

Also offered as: COMPSCI C100, DATA 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.

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

Requisites

Undergraduate Students - Excludes Visiting Students

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.