QMB 660 Advanced Forecasting and Predictive Analytics

Most business planning begins with a forecast or a prediction.  We cover the most useful predictive analytics models, whether you are a financial analyst, an operations manager, an accountant, a marketer, a human resources manager or an entrepreneur.  We use actual data much like the data you encounter in practice.  Models are explained as procedures that you may replicate with your own data.  These include moving-average, exponential smoothing, S-curve, event, advanced regression, time-series decomposition, ARIMA, data mining, ensemble, and text mining models.  We employ Excel-based ForecastX and Analytic Solver, two widely-used forecasting and data/text mining software in practice. 

Credits

4

Prerequisite

Foundation courses.

Offered

summer.