Introduction to Forecasting

[JoeM]

Description:

Data that is time-based (values collected over a year for example) has an order which needs to be accounted for. There are several methods available to model and forecast time series.

You'll learn how to:

• Differentiate between ARIMA and ETS models
• Forecast Times Series
• Compare Time Series Models

Tool sets/processes covered:

• Time Series

Presenter:  @BlytheE

Date: 2016-12-20

Alteryx Designer Version: 10.5