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.
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