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.