Time Series Analysis
Learning Outcomes
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What’s Included
Introduction to Time Series Forecasting
Introduction to Time Series Forecasting
In this lesson, we introduce the concept of a time series forecast. We will look at the differences between time series analysis and regression analysis.
Forecasting Methodologies in Alteryx
Forecasting Methodologies in Alteryx
In this lesson, we'll look at the different forecasting methodologies available in Alteryx.
Data Aggregation
Data Aggregation
In this lesson we will prepare a workflow suitable for time series analysis. We'll start by aggregating our data into the correct time intervals.
Time Series Plot
Time Series Plot
In this lesson, we will learn how to engage the TS Plot tool and how to interpret its results.
Partitioning Data for ARIMA Analysis
Partitioning Data for ARIMA Analysis
In this lesson, we learn how to partition our data for ARIMA analysis and how the partitioning method differs from sampling for regression analysis.
Running the ARIMA Analysis
Running the ARIMA Analysis
An in-depth examination of a time series analysis continues in this lesson. We will run our first time series model using the ARIMA tool, and considered the results.
ETS Analysis and Comparing Models
ETS Analysis and Comparing Models
In this lesson we will learn how to deploy a second time series model to the workflow and contrast the results with the alternative in order to determine the more appropriate model for our dataset.
Forecasting Weekly Sales Data
Forecasting Weekly Sales Data
We conclude our analysis of the univariate time series forecasting technique in this lesson. We will utilize the more appropriate model for the dataset to construct a forecast for a defined period ahead.
Preparing Data for Covariate Forecasting
Preparing Data for Covariate Forecasting
In this lesson we will learn how to incorporate an independent variable into our time series forecast using the TS Covariate Forecast tool.
Running a Covariate Forecast
Running a Covariate Forecast
We continue our examination of covariate forecasting techniques in this lesson. In particular, we will consider how a change in budgeted marketing spend might influence future sales.
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