M001 :: Multivariate Analysis - Awareness :: 0.5 day

How to make sense of the potentially huge amounts of chemical, biological and process data generated by today’s technologies? See how Principal Components Analysis (PCA) can reduce many variables to the relevant few. This workshop introduces the powerful methods and tools that are available to help you to turn large complex multivariate data into informed decisions.

Topics Introduced

• Principal Components Analysis (PCA)
• How to reduce many variables to the relevant few
• How to extract insights from large data tables
• Monitoring continuous or batch processes
• Pre-processing techniques to remove/reduce artefacts

Software Tools Used

CELLULA-P or SIMCA-P - hands on
   (or your current in-house statistical software package)

Who Should Attend?

Managers, Project Managers, Scientists/Engineers not in the Lead User group, Sponsors

Recommended Preparation

This is an introductory workshop. No special preparation required.

When and Where?                              I'm interested, keep me posted  

• Runs according to demand