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Jun 16, 2024
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MAST 6251 - Applied Predictive Analytics I
Credits: 2
From forecasting aggregate-level sales to predicting whether a customer will choose a particular product, analytic techniques are used by businesses to make rigorous, data-driven predictions. This course explores analytic methods such as logistic regression, instrumental variable regression, and simultaneous equation models. Students learn to distinguish between trend and seasonality and to utilize both for making forecasts in such areas as sales and operational planning. Prerequisite: Enrollment in the M.S.B.A. program.
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