A general introduction to data analysis that covers a broad selection of methodologies for working with data. Topics will be chosen from sources of data, exploratory data analysis, data visualization, cleaning and preparing data, inference, and regression. Students will use statistical analysis technology. Particular topics related to analyzing data, such as ethics and communication of results are highlighted.
Semester Offered
Spring