ITE 313 Data Analysis & Visualization

This course provides an overview of the system and tools used to process, analyze, and visualize data. Topics include simple linear regression, multiple regression, analysis of variance, and statistical design of experiments. These topics are explored using a combination of scripting languages such as Javascript and Python and the statistical package R, with a focus on understanding how to use and interpret output from this software and to visualize results. Concepts are presented in context of real world examples from biology, psychology, sociology, and computer science.

Credits

3

Prerequisite

MTH 265 or MA 331 or MA 431 or PO 341/PS 341/SO 341 or GBA 305