DATA 3520: Data Analysis 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. Concepts are presented in the context of real-world examples using publicly available data sets. 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. DATA 3520 has the added benefit of satisfying the Logical Reasoning Requirement.
Course Goals:
- Learn how to use appropriate analytical techniques and interpret the results of statistical analyses for variables with different levels of measurement.
- Understood methodology, including the underlying theory, assumptions, and mechanics of how each analytical tool works, is discussed, along with the appropriate interpretation of results.
- Gain an introduction to statistical software.
DATA 3520 requires no prerequisites and is open to students at all levels
