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 (5)
Prepared material. Full professionalism. Very good contact with the trainer. Full engagement and openness to changing the planned training format (very valuable open discussions on the topics we prepared)
Kamil Trebacz - Bank Gospodarstwa Krajowego
Course - Pentaho Data Integration (PDI) - moduł do przetwarzania danych ETL (poziom zaawansowany)
Machine Translated
Open discussion with trainer
Tomek Danowski - GE Medical Systems Polska Sp. Z O.O.
Course - Process Mining
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 example and training material were sufficient and made it easy to understand what you are doing.
Teboho Makenete
Course - Data Science for Big Data Analytics
Utilizing data integration
Waldemar Wisniewski
Course - Pentaho Business Intelligence (PBI) - moduły raportowe
Machine Translated