Designed to provide students with the advanced technical skills for coding, transforming, and displaying data within existing commercial platforms. Emphasis is placed on the use of and R and Python, SQL, data scraping, mining, etc. Course Information: 3 undergraduate hours. 4 graduate hours. Prerequisite(s): PA 402 or PA 434; or consent of the instructor. Recommended background: Familiarity with coding environments and programming. To be properly registered, students must enroll in one Lecture and one Laboratory.