Instructor(s):

Rob J. Hyndman
Rob J. Hyndman

Rob is Professor of Statistics at Monash University and Editor-in-Chief of the International Journal of Forecasting.

Collaborator(s):

Lore Dirick Lore Dirick

Davis Vaughan Davis Vaughan

Course Description

Forecasting involves making predictions about the future. It is required in many situations such as deciding whether to build another power generation plant in the next ten years requires forecasts of future demand; scheduling staff in a call centre next week requires forecasts of call volumes; stocking an inventory requires forecasts of stock requirements. Forecasts can be required several years in advance (for the case of capital investments), or only a few minutes beforehand (for telecommunication routing). Whatever the circumstances or time horizons involved, forecasting is an important aid to effective and efficient planning. This course provides an introduction to time series forecasting using R.

1Exploring and visualizing time series in R

2Benchmark methods and forecast accuracy

3Exponential smoothing

4Forecasting with ARIMA models

5Advanced methods