Forecasting in R • October 2020 • Bahman Rostami-Tabar • Cardiff University
10:00 - 16:00
10:00 - 16:00
10:00 - 16:00
Pre Session | Data preparation in tsibble | Reading and video |
Session 01-1 | Introduction to forecasting | Tuesday 20 April 2021 |
Session 01-2 | Time series patterns and graphics | Tuesday 20 April 2021 |
Session 01-3 | Forecaster’s toolbox | Tuesday 20 April 2021 |
Session 02 | Forecaster’s toolbox: modeling accuracy evaluation | Tuesday 27 April 2021 |
Session 03 | Exponential smoothing models | Tuesday 27 April 2021 |
Session 04 | ARIMA models | Tuesday 04 May 2021 |
Session 05 | Regression | Tuesday 04 May 2021 |
Given that all sessions are online, they need to be as interactive as possible. My role as instructor is to introduce you new tools and techniques, but it is up to you to take them and make use of them. It is best if you can start applying what you learn in the workshop on your own data.
You will also complete tutorials in R for each session.
You need to use RStudio Cloud
for all lab sessions.
Please click on this link to connect to RStudio Cloud workspace.
We will also share a link with you on the day through the Slack.
Feel free to reuse and share materials. If you use any material from ,please endorse the source.
We will be using Slack to facilitate course communication, particularly around questions and answers. If you have a question outside of class, feel free to reach out via email.