Business Data Mining and Visualization.

Catalog description

PR: ( MATH 150 with a minimum grade of C- or MATH 155 with a minimum grade of D-) and ( STAT 211 or ECON 225 or STAT 215 with a minimum grade of C-). Introduction to basic concepts and methods of data mining and visualization for higher-order business analytics. Data mining tasks and methods will be discussed with their application to business problems. Hands-on exercises of techniques and visualization in R, a programing language for statistical computing and graphics, are delivered through walk-through materials. Cannot get credit for both BUDA 450 and ACCT 425 .