Our demand forecasting course is back! This time under the OpenForecast umbrella.
Since 2024, Kandrika Pritularga and I have run a demand forecasting principles course at the Centre for Marketing Analytics and Forecasting. We ran it three times, and it has received good reviews from the participants. They liked that the material was motivated by real-life problems, that we explained it in detail, answered all the questions, and had helpful workshops. So, having discussed this with Kandrika and Nikos, we decided to continue the course, but now under the umbrella of OpenForecast, and this time Nikos Kourentzes and I will be teaching it together.
Demand Forecasting Principles is a four-week online course running in October 2026. We plan to have eight live Zoom sessions (two per week), with hands-on workshops in both R and Python between them. All sessions are recorded and shared with the participants for their reference.
The course will cover all the essentials of forecasting, starting from the forecasting principles, moving to the simple methods, ETS, intermittent demand, forecast evaluation, judgement, and finishing with forecast combinations.
Who is this for?
- demand planners,
- data scientists,
- business analysts
- anyone who works with forecasts and wants to understand what happens behind the numbers.
What do you need to know?
You don’t need prior knowledge of forecasting or statistics – we explain everything as we go, in as much detail as you need. Yet, experienced practitioners will still find plenty that is new: some of our previous participants were seasoned forecasters and said exactly that.
The details, programme, prices and booking are available here. Students get a discount.
Exact October dates will be announced next week, but you can already book your place.
If you are not sure whether the course fits you or your team, get in touch.