STAT 302

Statistical Computing
3.0 credits

Course Description

An introduction to the foundations of statistical computing and data analysis. Topics include programming fundamentals, data cleaning, data visualization, debugging, and version control. Topics are motivated by methods in statistics and machine learning. Taught using the R programming language. Course overlaps with: B BUS 301. Prerequisite: either STAT 290, STAT 311, STAT 390, STAT 391, or Q SCI 381; recommended: experience with R programming language. Offered: AWSpS.

Current Time Schedule

Winter, 2025

SLN/Section Time Location Instructor
20723 A
Open

T Th 4:30PM - 5:50PM

MGH 228

DAVID MARCANO

PLEASE SUBSCRIBE TO UW NOTIFY IF YOU WOULD LIKE TO GET SEAT ALERTS FROM THE UNIVERSITY. PLEASE CONTINUE TO USE UW NOTIFY BEFORE AND AFTER QUARTER STARTS. CONTACT INSTRUCTOR FOR ADD CODE. INSTRUCTOR'S NAME WILL BE POSTED A WEEK BEFORE QUARTER STARTS.

 

 

Upcoming Time Schedule

Spring, 2025

SLN/Section Time Location Instructor
20101 A
Open

M W 4:30PM - 5:50PM

CMU 228

PLEASE SUBSCRIBE TO UW NOTIFY IF YOU WOULD LIKE TO GET SEAT ALERTS FROM THE UNIVERSITY. PLEASE CONTINUE TO USE UW NOTIFY BEFORE AND AFTER QUARTER STARTS. CONTACT INSTRUCTOR FOR ADD CODE. INSTRUCTOR'S NAME WILL BE POSTED A WEEK BEFORE QUARTER STARTS.