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INFO 332 Exploratory Data Analytics 3.0 Credits

In this course students learn the essential exploratory techniques for summarizing and analyzing data. The course discusses how to install and configure software necessary for a statistical programming environment. It covers practical issues in statistical computing, which includes programming in R and how to use R for effective data analysis. The course covers the plotting systems in R and some of the basic principles of constructing data graphics.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: INFO 103 [Min Grade: D] and (STAT 201 [Min Grade: D] or PBHL 211 [Min Grade: D])

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