Segmentation and Clustering

Use machine learning to create segments

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Created by: Rod Light

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Course 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.