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 (8)
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
The content, as I found it very interesting and think it would help me in my final year at University.
Krishan - NBrown Group
Course - From Data to Decision with Big Data and Predictive Analytics
Very tailored to needs.
Yashan Wang
Course - Data Mining with R
how the trainor shows his knowledge in the subject he's teachign
john ernesto ii fernandez - Philippine AXA Life Insurance Corporation
Course - Data Vault: Building a Scalable Data Warehouse
I enjoyed the good real world examples, reviews of existing reports.
Ronald Parrish
Course - Data Visualization
The trainer was so knowledgeable and included areas I was interested in.
Mohamed Salama
Course - Data Mining & Machine Learning with R
Intensity, Training materials and expertise, Clarity, Excellent communication with Alessandra
Marija Hornis Dmitrovic - Marija Hornis
Course - Data Science for Big Data Analytics
I feel more confident with coding now. I've never done it before but now I understand that it's not rocket science and I can do it when necessary.