The Segmentation and Clustering course provides students with the foundational knowledge to build and apply clustering models to develop more sophisticated segmentation in business contexts. You will learn:

• The key concepts of segmentation and clustering, such as standardization vs. localization, distance, and scaling

• The concepts of variable reduction and how to use principal components analysis (PCA) to prepare data for clustering models

• How to choose between hierarchical and k-centroid clustering models

• How to build and apply k-centroid clustering models

Throughout this course you’ll also learn the techniques to apply your knowledge in a data analytics program called Alteryx.

This course is part of the Business Analyst Nanodegree Program.