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Part 1: Introduction and data management introduction to forecasting and time-series analysis building tools for time series analysis - describing an dtransforming data. Part 2: Modelling and forecasting trend modelling trend using regression analysis updating regression analysis with exponential smoothing. Part 3: Modelling and forecasting trend and seasonality the decomposition model updating seasonal models with winters' exponential smoothing. Part 4: The Box Jenkins procedure the Box Jenkins methodology - seasonal models. Part 5: Econometric and other modelling procedures multiple regression in time-series analysis - the causal model combining forecast methodologies and fine tuning the forecast - judgmental factors in forecasting.
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