Course Outline
Introduction
Cluster Analysis
- What constitutes cluster analysis?
- Types of clustering methods
Advanced Cluster Analysis Concepts
- Cluster analysis versus object segmentation
- Hierarchical versus 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
- Interpreting output
- Working with K-means clustering for non-hierarchical approaches
- Interpreting output
Cluster Analysis with R
- Utilizing hierarchical clustering functions
- Working with non-hierarchical clustering functions
Summary and Conclusion
Requirements
- Prior experience with R programming
- Familiarity with SAS
Target Audience
- Data Analysts
Testimonials (4)
Deepthi was super attuned to my needs, she could tell when to add layers of complexity and when to hold back and take a more structured approach. Deepthi truly worked at my pace and ensured I was able to use the new functions /tools myself by first showing then letting me recreate the items myself which really helped embed the training. I could not be happier with the results of this training and with the level of expertise of Deepthi!
Deepthi - Invest Northern Ireland
Course - IBM Cognos Analytics
he was well prepared - and he is very sympathetic
Oliver - Post CH AG
Course - Splunk Fundamentals
Used good examples, good pace of the training and covered most things
David - McGraw Hill
Course - Data Preparation with Alteryx
lots of pratical exercises
