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.