Business Forecasting Principles: 05. Time series components

In this educational video in the series of "Business Forecasting Principles", Dr. Ivan Svetunkov discusses what is time series and what components it typically contains, followed by a discussion of how to extract them using the classical decomposition. You can register for our online course on Demand Forecasting with R: https://linktr.ee/lancastercmaf Content of the video 00:00 - Introduction 01:10 - What is time series? How to visualise it? 03:50 - Fundamental idea in forecast: structure vs noise 06:25 - Time series components 11:07 - Types of seasonality in the data 12:18 - Time series components taxonomy 13:53 - Time series decomposition approaches 15:31 - Classical time series decomposition 20:24 - Conclusions LinkedIn of Ivan Svetunkov:   / isvetunkov   Videos are produce by Centre for Marketing Analytics and Forecasting of Lancaster University, UK. Follow us on LinkedIn:   / lancastercmaf   CMAF on Twitter:   / lancastercmaf   Our website: https://lancaster.ac.uk/cmaf Other CMAF resources: https://linktr.ee/lancastercmaf