How to Work Through a Time Series Forecast Project

Last Updated on August 14, 2020

A time series forecast process is a set of steps or a recipe that leads you from defining your problem through to the outcome of having a time series forecast model or set of predictions.

In this post, you will discover time series forecast processes that you can use to guide you through your forecast project.

After reading this post, you will know:

• The 5-Step forecasting task by Hyndman and Athana­sopou­los to guide you from problem definition to using and evaluating your forecast model.
• The iterative forecast development process by Shmueli and Lichtendahl to guide you from defining your goal to implementing forecasts.
• Suggestions and tips for working through your own time series forecasting project.

Kick-start your project with my new book Time Series Forecasting With Python, including step-by-step tutorials and the Python source code files for all examples.

Let’s get started.

5-Step Forecasting Task

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