Prerequisites: ANLY 400 or MEBA 375
The course covers the principles of data driven decision-making. The student is shown how to build predictive models using regression, decision trees, and neural networks. The student learns how to calculate expected values and assess risk. These topics are examined and discussed within the managerial practices of Evidence Based Management, Total Quality Management, and Six Sigma. The student also explores business modeling, data quality, and data governance.