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Predictive Analytics

Clustering and Market Basket Analysis

When dealing with large, unruly datasets, you might find it difficult to gain practical, valuable insights. With Alteryx, you can deploy automated techniques to help make sense of your data. This course introduces you to the concept of unsupervised learning and how you can use machine learning in Alteryx to better understand your data.

Advanced        10 Lessons        120 Minutes        CPD Credits
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About This Course

Until this point, you have looked primarily at supervised learning techniques. In this course, you will be introduced to unsupervised techniques and how they can be deployed in Alteryx.

You’ll examine two types of unsupervised learning: Market Basket Analysis and Clustering. You will explore the appropriate use case for each technique. Throughout the course, you will perform both types of analysis, examining the results and preparing them for output to Tableau.

By the end of this course, you will have a strong understanding of unsupervised learning techniques and how they can be used to drill down into your data. You will be fully equipped to create robust models that make for easier, more informed decisions.

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Learning Outcomes

  • Understand applications of clustering and market basket analysis
  • Prepare data for market basket analysis
  • Perform and evaluate market basket analysis
  • Prepare data for clustering
  • Perform clustering and evaluate results


1. Introduction to Market Basket Analysis
2. Market Basket Affinity and Item Co-occurence
3. Preparing Data for Export
4. Visualizing Co-Occurrence
5. Market Basket Rules
6. Market Basket Inspection

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7. Visualizing Shopper Behavior
8. Segmenting Data into Clusters
9. Cluster Analysis
10. Preparing Cluster Analysis for Data Visualization
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