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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. Prerequisite: either STAT 311, STAT 390, or Q SCI 381; recommended: previous coursework in R programming language.

Upcoming Time Schedule

Spring, 2023

SLN/Section Time Location Instructor
20140 A
Open

M W 4:30PM - 5:50PM

THO 125

Prince Allotey

PLEASE USE UW NOTIFY FOR SEAT NOTIFICATION IN PERIODS 1 AND 2. ADD CODES REQUIRED STARTING PERIOD 3 AND MAY BE OBTAINED BY EMAILING T INSTRUCTOR. INSTRUCTOR'S NAME WILL BE POSTED A WEEK BEFORE THE QUARTER STARTS.