Data Analysis and Visualization with R


Data Analysis and Visualization with R

MET CS 555 (4 credits)

This course provides an overview of the statistical tools most commonly used to process, analyze, and visualize data. Topics include simple linear regression, multiple regression, logistic regression, analysis of variance, and survival analysis. These topics are explored using the statistical package R, with a focus on understanding how to use and interpret output from this software as well as how to visualize results. In each topic area, the methodology, including underlying assumptions and the mechanics of how it all works along with appropriate interpretation of the results, are discussed. Concepts are presented in context of real world examples. Recommended Prerequisite: MET CS 544 or equivalent knowledge, or instructor's consent.

2020FALLMETCS555 A1, Sep 2nd to Dec 9th 2020

Days Start End Type Bldg Room
W 06:00 PM 08:45 PM

2020FALLMETCS555 A2, Sep 3rd to Dec 10th 2020

Days Start End Type Bldg Room
R 06:00 PM 08:45 PM CAS 226

2020FALLMETCS555 A3, Sep 3rd to Dec 10th 2020

Days Start End Type Bldg Room
R 12:30 PM 03:15 PM HAR 408

2020FALLMETCS555 O2, Nov 3rd to Dec 21st 2020

Days Start End Type Bldg Room
ARR TBD TBD

Format & Syllabus: