Course Outline
Introduction.
Cluster Analysis.
- What is cluster analysis?
- Types of clustering methods.
Continuing with Cluster Analysis.
- 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.
- Standardising data.
- Implementing hierarchical clustering.
- Interpreting output.
- Working with K-means clustering for non-hierarchical approaches.
- Interpreting output.
Cluster Analysis with R.
- Using hierarchical clustering functions.
- Working with non-hierarchical clustering functions.
Summary and Conclusion.
Requirements
- Experience with R programming.
- Experience with SAS.
Target Audience
- Data Analysts.
Testimonials (4)
Abhi has excellent knowledge of Alteryx and he explained things very clearly. He understood our goals and created bespoke demo datasets that were relevant to our organisation, which was very impressive. The training was well-structured and delivered at a good pace, with time for questions.
Samuel Taylor - Manchester Metropolitan University
Course - Alteryx for Data Analysis
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
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.
