Consulting methodology, data cleaning, experimental design, linear regression, missing data, categorical data analysis, logistic regression, and stat learning. R and SAS applications. Course Information: 3 undergraduate hours. 4 graduate hours. Prerequisite(s): Grade of C or better in STAT 411 or STAT 481.