BUAD 467 | 3 credits
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.