Section Information for Spring 2017
Econ 296 Understanding Data is a hands-on course with the focus on using a novel and intuitive, yet rigorous approach to teach students the fundamentals of quantitative reasoning and data exploration. Methods of analysis include descriptive statistics, testing for substantially important and statistically significant associations among continuous and categorical variables, testing for differences of means and independence, and correlation analysis. Students learn how to use cloud-based statistical software to uncover and interpret systematic patterns in a variety of data sets drawn from the social sciences and humanities.
Provides coverage of a specialized topic in economics at the introductory level. Topics vary by section.
May be repeated for credit when topic is different for a maximum of 9 hours.