ECON 560 - Data Informed Decision Making

3 credits
This course will increase data literacy of students by introducing them to descriptive and inferential statistics, with a focus on data analysis and real world application to business and economics. Topics include collection of and use of data, measures of central tendency and dispersion, data visualization, probability, confidence intervals, hypothesis testing, regression analysis, including work with categorical variables and nonlinearities, and basic technical writing for presentation of data and statistical analysis. Projects require students to apply knowledge to consulting scenarios, with a specific client in mind. Students are expected to have a basic understanding of Excel, but instruction on use of the Data Analysis Toolpak will be provided as part of the course.

Prerequisite(s): None
Corequisite(s): None