Spring 2021

STAT C131A 001 - LEC 001

Formerly Statistics 131A

Statistical Methods for Data Science

Shobhana Murali Stoyanov

Jan 19, 2021 - May 07, 2021

Mo, We, Fr

01:00 pm - 01:59 pm

Internet/Online

Class #:33103

Units: 4

Instruction Mode: Pending Review
Asynchronous Instruction

Offered through Statistics

Current Enrollment

Total Open Seats: 15

Enrolled: 55

Waitlisted: 0

Capacity: 70

Waitlist Max: 16

No Reserved Seats

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

TUE, MAY 11TH

08:00 am - 11:00 am

Other classes by Shobhana Murali Stoyanov

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.

Class Notes

Lectures will offer an asynchronous option. Lab sections will be held at their scheduled times and will also offer an asynchronous option.

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.