BUAD 467 - Applied Predictive Analytics

Fall or Spring (3) Johnson-Hall Prerequisite(s): BUAD 231 or the equivalent, and BUAD 330.

This course focuses on solving business problems with data using predictive techniques, particularly in situations where the problem statement is ambiguous. The course covers five integral elements of analysis including: 1) general problem framing, 2) framing analytics problems, 3) managing, evaluating and cleaning data, 4) methodology selection and 5) model building/reporting. This approach enables students to experience a predictive business analytics problem from start to finish with a particular emphasis on providing, receiving and implementing feedback for improvement. Note: Statistics equivalent defined as BUAD 231, ECON 307, KINE 394, MATH 106, MATH 351, PSYC 301, or SOCL 353.

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