2023 Fall

STAT C131A 001 - LEC 001

Formerly Statistics 131A

Statistical Methods for Data Science

Jeremy Sanchez

Aug 23, 2023 - Dec 08, 2023

Mo, We, Fr

02:00 pm - 02:59 pm

Evans 60

Class #:25174

Units: 4

Instruction Mode: In-Person Instruction

Offered through Statistics

Current Enrollment

Total Open Seats: 0

Enrolled: 80

Waitlisted: 0

Capacity: 80

Waitlist Max: 10

Open Reserved Seats:

2 reserved for Undergraduate Data Science Minors

Also offered as: DATA 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

THU, DECEMBER 14TH

03:00 pm - 06:00 pm

Hearst Mining 390

Other classes by Jeremy Sanchez

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.