Course Outline
Introduction
Cluster Analysis
- Understanding cluster analysis
- Various types of clustering methods
Cluster Analysis Continued
- Cluster analysis compared to object segmentation
- Differences between hierarchical and non-hierarchical clustering
Setting Up the Development Environment
- Installation and configuration of SAS
- Installation and configuration of R
Cluster Analysis with SAS
- Data importation
- Data standardization
- Execution of hierarchical clustering
- Interpretation of output
- Utilization of K-means clustering for non-hierarchical approaches
- Interpretation of output
Cluster Analysis with R
- Leveraging 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
