Time-series forecasting and decision-making
Through supervised learning over three, online training days, you will be introduced to time-series forecasting to support decision making in the real world. If you are interested in this free, online training course then please register your interest by completing the linked form below.
What will you learn?
- What is forecasting?
- How the forecasting task is different from other modelling tasks
- What is the link between forecasting and decision-making, how to identify what to forecast and how to use this to inform decision-making
Who is this training for?
- Anyone who wants to understand
- the foundation of forecasting to inform decision-making process
- theoretical background of forecasting models and use them in R to inform decision-making processes
- An executive member in charge of planning and decision making who wants to use the output of forecasting process
- A decision maker who uses forecasting tools to empower decision making
- A data analyst who wants to gain in depth and comprehensive knowledge of forecasting process using R
- A forecaster who wants to use R to apply forecasting models
Would you like to know how to …
- Identify decisions that require forecasting and determine what to forecast?
- Identify key features of data using time series analysis?
- Apply simple forecasting methods?
- Check whether a forecasting model is good?
- Produce point forecasts and prediction intervals?
- Compute the accuracy of forecasting methods for point and prediction intervals?
- Visualize and report forecasts and its accuracy for interpretation and insights?
- Understand Exponential smoothing, ARIMA and time series regression models used in forecasting?
- Develop computer skills for forecasting time series?
- Gain insights into the problems of implementing and operating forecasting systems?
- Be confident at selecting and using the right model and using it to support decision-making in your team or organisation?
Prerequisites:
- Basic knowledge in R (e.g. how to use a function) – if you are new to R or have limited experience, please prepare for the training by interacting with the resources below, to make sure you get the most out of the course:
- Learn to work with R&Rstudio – we assume that you know what a function is and how to use it in R. If you are not familiar with R functions and Tidyverse style in particular, please go through the following interactive tutorials before joining the training: https://rstudio.cloud/learn/primers
- We also recommend that participants attend one of the workshops organised by NHS-R community, if you are not familiar with R and Rstudio at all: https://nhsrcommunity.com/events/ or look out for Introduction to R training via the MDSN Training & Events Programme.
- If you are not able to go on an Introduction to R training session then please take a look at these resources:
- Basic knowledge in statistics (e.g What is a normal distribution?);
- No knowledge of forecasting is assumed.
Your trainer
Your training will be led by: Bahman Rostami-Tabar, Senior Lecturer (Associate Professor) in Management Science, Cardiff University
Three day online course – (10:00-16:00)
Location
Online
For more information about this course, please contact:
Training & Development Operational Lead, Rachel Caswell