Forecasting using R

Illustration by Joseph August Knip on RawPixel

Aug 13, 2020 9:00 AM — Aug 14, 2020 4:30 PM
Gloucestershire Hospitals NHS Foundation Trust, U.K.

Assuming basic knowledge of statistics, participants will be able to do the following tasks when using forecasting to support decision making process in real World:

  • Determine what to forecast according to a forecasting process framework;
  • Prepare and manipulate data using functions in basic R, tidyverse and lubridate packages in R;
  • Identify systematic patterns using time series toolbox in ggplot2 and forecasting related packages in R such as forecast package;
  • Produce point forecasts and prediction intervals using R functions in forecasting related packages such as forecast and fable and user defined functions;
  • Determine the accuracy of forecasting models using statistical accuracy performance measures for point and prediction intervals;
  • Visualize, export and report result for interpretation and insights using RMarkdown.
Reader (Associate Professor) in Management Science and Business Analytics