Segmentation & Cluster Analysis Certification (Displayr)

This learning path provides a comprehensive introduction to segmentation and cluster analysis using Displayr. Segmentation is a powerful analytical technique used to identify distinct groups within a population based on shared attitudes, behaviors, or characteristics, enabling deeper insights and more targeted strategies.

Throughout the course, learners will explore the key methodologies used in modern segmentation studies. The learning path begins with a foundational overview of segmentation concepts and when segmentation is most useful in research. Learners will then dive into the primary segmentation techniques used in Displayr: Latent Class Analysis, k-means Cluster Analysis, and Hierarchical Cluster Analysis.

After learning how segments are created, the course focuses on how to interpret, explore, and visualize segments to uncover meaningful insights. Finally, learners will learn how to build a segmentation typing tool, allowing new respondents to be classified into segments using a small set of “golden questions.”

Modules include:

• Introduction to Segmentation/Cluster Analysis

• Latent Class Analysis

• k-means Cluster Analysis

• Hierarchical Cluster Analysis

• Exploring and Visualizing Segments

• Creating a Segmentation Typing Tool

Learners who successfully complete this learning path will receive a certificate in conducting segmentation and cluster analysis in Displayr, demonstrating their ability to build, interpret, and apply segmentation models in real-world research.