Segmentation and Clustering

Online Course

Udacity

What is the course about?
Prerequisites & Facts
Cost, Certificate & Degree
Reviews & Experiences

What is the course about?

Segmentation and Clustering

The course Segmentation and Clustering is an online class provided by Udacity. The skill level of the course is Intermediate. It may be possible to receive a verified certification or use the course to prepare for a degree.

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:

Course description

Segmentation and Clustering
3 weeks

Use machine learning to create segments
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.

Segmentation and Clustering Fundamentals
Data Preparation for Clustering Models
Variable Reduction
Clustering models design
Lesson 5 – Building a Clustering Model

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.
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.
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.
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.
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.

See the Technology Requirements for using Udacity.

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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Prerequisites & Facts

Segmentation and Clustering

Course Topic

Business, Data Analytics, Decision Making

University, College, Institution

Udacity

Course Skill Level

Intermediate

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Segmentation and Clustering

To obtain a verified certificate from Udacity you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.

Udacity

Segmentation and Clustering

provided by Udacity

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School: Udacity

Topic: Computer Science, Programming

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