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.

Current Time Schedule

Autumn, 2022

SLN/Section Time Location Instructor
21792 A

M W F 4:30PM - 5:20PM

MGH 044

Prince Allotey