Abstract
This article explores an undergraduate course, Data Analytics for Intelligence and Security, at Coastal Carolina University. The course, a requirement for the new Data Analytics for Intelligence and Security minor, focuses on theory and practice. It equips students with practical skills highly applicable to analytical careers in national security. To enhance their practical skills, students utilize the R programming language, a free and open-source software widely used for statistical computations. They gain extensive hands-on experience managing and visualizing data and analyzing relationships between variables using regression analysis. This practical experience develops students’ self-efficacy.
Authors
Matthew Cobb
Matthew Cobb, Ph.D., is an Assistant Professor at Coastal Carolina University's Department of Intelligence and Security Studies. His research and teaching interests include political violence, urban security, and the economic dimensions of international security. He earned his Ph.D. at the University of Arizona, where his research focused on patterns of armed conflict in developing countries.Â
Jordan Roberts
Jordan P. Roberts, Ph.D., is an Assistant Professor at Coastal Carolina University. He teaches in the Department of Intelligence and Security Studies and is the Data Analytics in Intelligence and Security minor advisor. He earned his Ph.D. at Duke University. Jordan teaches and researches topics related to covert action, international crises, and games and simulations in undergraduate security education.
