Spring 2023

DATA C131A 001 - LEC 001

Formerly Statistics 131A

Statistical Methods for Data Science

Elizabeth Purdom

Jan 17, 2023 - May 05, 2023

Mo, We, Fr

02:00 pm - 02:59 pm

Social Sciences Building 170

Class #:25841

Units: 4

Instruction Mode: In-Person Instruction

Offered through Data Science Undergraduate Studies

Current Enrollment

Total Open Seats: 0

Enrolled: 0

Waitlisted: 0

Capacity: 0

Waitlist Max: 0

No Reserved Seats

Also offered as: STAT C131A

2 hours of instructional experiences requiring special laboratory equipment and facilities per week, 3 hours of instructor presentation of course materials per week, and 7 hours of outside work hours per week.

Final Exam

TUE, MAY 9TH

11:30 am - 02:30 pm

Latimer 120

Other classes by Elizabeth Purdom

+ 1 Independent Study

STAT 299 027 027IND

Course Catalog Description

This course teaches a broad range of statistical methods that are used to solve data problems. Topics include group comparisons and ANOVA, standard parametric statistical models, multivariate data visualization, multiple linear regression, logistic regression and classification, regression trees and random forests. An important focus of the course is on statistical computing and reproducible statistical analysis. The course and lab include hands-on experience in analyzing real world data from the social, life, and physical sciences. The R statistical language is used.

Rules & Requirements

Requisites

Statistics/Computer Science/Information C8 or Statistics 20; and Mathematics 1A, Mathematics 16A, or Mathematics 10A/10B. Strongly recommended corequisite: Statistics 33A or Statistics 133.