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
Testimonials (5)
Open discussion with trainer
Tomek Danowski - GE Medical Systems Polska Sp. Z O.O.
Course - Process Mining
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
The example and training material were sufficient and made it easy to understand what you are doing.
Teboho Makenete
Course - Data Science for Big Data Analytics
I thought that the information was interesting.