Forecasting with R
This workshop aims to provide you with a set of forecasting tools useful for business forecasting. The course will be based on my free online textbook with Professor Rob J Hyndman Forecasting: Principles and Practice (a printed copy can be purchased here).
I will assume that you are broadly comfortable with R and the RStudio environment and familiar with basic statistical concepts such as: mean, standard deviation, regression, normal distribution, etc. This will not be a programming or a statistics course. Rather an applied forecasting course.
You will need your own laptop with a recent version of R and RStudio installed and administrator rights in order to install any packages we will be using.
Time series graphics, forecast evaluation, exponential smoothing, ARIMA models, STL decomposition, dynamic regression, and hierarchical time series.