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
- Prior experience with R programming.
- Previous experience with SAS.
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
Clear explanations with good examples so i could relate to my own line of work.
