Data Analysis

Catalog description

This course provides an overview of the statistical tools most commonly used to analyze quantitative data. Topics include describing data, statistical inference, statistical significance, hypothesis testing, and regression analyses. The course focuses on understanding how to use appropriate analytical techniques and interpret the results of statistical analyses for variables with different levels of measurement. For each topic area, the methodology, including the underlying theory, assumptions, and mechanics of how each analytical tool works, is discussed, along with the appropriate interpretation of results. Concepts are presented in the context of real-world examples using publicly available data sets. The course will also introduce students to statistical software. Students of all skill levels are welcome, including those with limited or no statistical, mathematical, or programming backgrounds. All data analysis skills will be taught in class.