STAT 228 Introduction to Data Science
This course serves as an introduction to data science using R. Students will learn how to wrangle, organize, and manipulate data in a variety of formats; design accurate and effective data graphics; "tidy" data principles; work with different data types; predictive modeling and statistical learning; tools for working with text data. Prerequisites include Introductory Statistics (or equivalent) and a willingness to code." Changed: perform basic spatial data analyses and create data maps to work with different data types. Spatial data is one possible data type students can work with but this is a better phrasing that incorporates the different data types such as time/date data, text data, etc.
Course Type
QL, HON