Course Outline
Introduction
Cluster Analysis
- Definition of cluster analysis
- Types of clustering methods
Further Exploration of Cluster Analysis
- Differentiating cluster analysis from object segmentation
- Comparing hierarchical and non-hierarchical clustering techniques
Setting Up the Development Environment for Government
- Installing and configuring SAS
- Installing and configuring R
Conducting Cluster Analysis with SAS
- Data importation processes
- Data standardization techniques
- Implementing hierarchical clustering methods
- Interpreting the output of hierarchical clustering
- Applying K-means clustering for non-hierarchical analysis
- Interpreting the output of non-hierarchical clustering
Performing Cluster Analysis with R
- Utilizing hierarchical clustering functions
- Working with non-hierarchical clustering functions
Summary and Conclusion
Requirements
- Experience with R programming for government applications
- SAS experience for government data analysis
Audience
- Data Analysts in the public sector
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
Very clearly articulated and explained
Harshit Arora - PwC South East Asia Consulting
Course - Alteryx for Developers
Linear regression - the algorithm to predict the trend
Vincent Ko - UBS
Course - Data Preparation with Alteryx
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.
