Segmentation and Clustering
About this Course
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 …
Segmentation and Clustering
About this Course
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.
The Segmentation & Clustering course provides students with the knowledge to build and apply clustering models to develop sophisticated segmentation in business contexts.
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Segmentation is used by companies across industries to better target the right products to the right customers. Most segmentation approaches are rather simple, such as segmenting customers by geography or age. However, with the rich amount of data business have now, much more sophisticated segmentation approaches are available.
,In this course, you’ll learn how to use an advanced analytical method called clustering to create useful segments for business contexts, whether its stores, customers, geographies, etc.
,You’ll learn this through improving your fluency in Alteryx, a data analytics tool that enables you prepare, blend, and analyze data quickly.
,This course is ideal for anyone who is interested in pursuing a career in business analysis, but lacks programming experience.
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lesson 1
Segmentation and Clustering Fundamentals
Learn the difference between standardization and localization.
Learn about the concept of distance in clustering models.
Get introduced to how segmentation is used in business.
lesson 2
Data Preparation for Clustering Models
Learn how to select data for clustering models.
Learn what data types can be used in clustering models.
Scale and transform data for clustering models.
lesson 3
Variable Reduction
Learn the difference between factor analysis and principle components analysis.
Learn to use principal components analysis to reduce the number of variables in a model.
lesson 4
Clustering models design
Learn the difference between k-centroid and hierarchical clustering models.
Be able to select the number of clusters for a k-centroid model.
Validate your clusters in Alteryx.
lesson 5
Lesson 5 – Building a Clustering Model
Build a k-centroid clustering model to segment retail stores.
Learn how to visualize and validate your clusters.
Be able to interpret the results and communicate the “story” of the analysis.
