DATA 101 Fundamentals of Data Science
	Understandable introduction to the field of data science.  Topics include the data science methodology, data preparation, exploratory data analysis, a classification algorithm, the model building process, and model evaluation.  Topics may include decision trees and report writing.  Students will gain familiarity with a widespread open-source data science platform, such as R.
 Credits
4
	
		Prerequisite
	
B or better in a first semester statistics course, such as 
STAT 104 or 
STAT 200 or 
STAT 215 or permission of department chair.