Segmentation and Clustering

Description:

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.