Data Analytics for Intelligence Analysis

Catalog description

Introduces methods for analyzing and visualizing data to answer questions of intelligence studies. Topics include: essential notions of probability theory and statistics, followed by techniques in modern data analysis: ordinary least squares regression, maximum likelihood estimation, multi-level modeling, and data visualization. Also discussed is how to deal with different types of variables and data generating process. These concepts are illustrated with applications drawn from frontier research. Finally, instruction is provided on the use of R language and opportunities for students to perform hands-on, self-directed empirical analysis. Lecture Hours: 3 Contact Hours: 80 Repeatability: May not be repeated for credit. Grade Mode: N- Normal (A, B, C, D, F) Major Restrictions: INSC- Intelligence & Security Studies Schedule Type (Primary): Asynchronous Instruction Click here for the Schedule of Classes.