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Course Outline
Introduction
Cluster Analysis
- What is cluster analysis?
- Types of cluster types
Cluster Analysis Continued
- Cluster analysis vs object segmentation
- Hierarchical vs non-hierarchical clustering
Preparing the Development Environment
- Installing and configuring SAS
- Installing and configuring R
Cluster Analysis with SAS
- Importing data
- Standardizing data
- Implementing hierarchical clustering
- Interpretting output
- Working with K means clustering for non-hierarchical
- Interpretting output
Cluster Analysis with R
- Using hierarchical clustering functions
- Working with non-hierarchical clustering functions
Summary and Conclusion
Requirements
- Experience with R programming
- SAS experience
Audience
- Data Analysts
14 Hours
Testimonials (3)
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.
Rhian Hughes - Public Health Wales NHS Trust
Course - Introduction to Data Visualization with Tidyverse and R
Richard's training style kept it interesting, the real world examples used helped to drive the concepts home.
Jamie Martin-Royle - NBrown Group
Course - From Data to Decision with Big Data and Predictive Analytics
Very tailored to needs.