Advanced tech skills for coding, transforming, and visualizing data using existing platforms, with an emphasis on R. Topics include functional programming, GitHub and webpage creation, web scraping, Shiny applications, and advanced data visualization. Course Information: 3 undergraduate hours. 4 graduate hours. Prerequisite(s): PA 402; or PA 434; or consent of the instructor and admission to the Master of Public Administration, Master of Public Policy, or Master of Science in Computer Applications program. Recommended background: Familiarity with coding environments and programming. To be properly registered, students must enroll in one Lecture and one Laboratory.