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Predictive Analytics

Time Series Analysis

Use the past to more accurately predict the future. This course introduces you to the concept of time-series analysis and how covariate and univariate forecasts can be constructed in Alteryx.

Advanced        10 Lessons        120 Minutes        CPD Credits
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About This Course

A large volume of historical data can, in the right hands, be an excellent resource for making accurate forecasts. In this course you will learn how and when to apply time-series analysis to your dataset in Alteryx.

You’ll learn how to plot time-series data to make covariate and univariate forecasts. You will learn how these models differ from regression analysis. You’ll perform ARIMA analysis and ETS analysis and examine the strengths and weaknesses of each.

By the end of this course, you’ll have a strong foundational knowledge of different forecasting techniques in Alteryx. You’ll have a tangible sense of how a change in budgeted marketing spend might influence future sales.

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Learning Outcomes

  • Understand the applications of time series analysis
  • Plot time-series data
  • Perform ARIMA analysis
  • Perform ETS analysis
  • Perform covariate analysis


1. Introduction to Time Series Forecasting
2. Forecasting Methodologies in Alteryx
3. Data Aggregation
4. Time Series Plot
5. Partitioning Data for ARIMA Analysis
6. Running the ARIMA Analysis

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7. ETS Analysis and Comparing Models
8. Forecasting Weekly Sales Data
9. Preparing Data for Covariate Forecasting
10. Running a Covariate Forecast
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