| Description | Many hypotheses and questions are best addressed through the
careful collection and analysis of data. This course will guide
students in the development and execution of a data-driven,
Division II supported project. Students will identify a relevant
question that can be addressed through data analysis, they will
identify sources of data, they will design an appropriate
methodology, they will analyze their data, and they will write up
and present their results. In the process, they will learn how
to validate their methods, how to graphically and statistically
present data and results, and how to effectively write up the
results of a data-driven research project. They will also
develop valuable assessment skills as they serve as reviewers for
their peers. Course level will be determined by the analysis
methods students wish to use ranging from descriptive statistics
to machine learning and modeling. |