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Web-based Courses

Value for money
   
Prices start from $350. Please click on the individual course details below for specific price information.
Convenient
   
Time
A convenient time for participants from different timezones
   
Workshops are typically split across 2 days of 4 hours per day
   
   
No Travel, No Stay
   

No Travel

No hotel expenses
 
Connect from your desktop
   
Participate from home / work
 

Get an introduction to Multivariate Data Analysis from the comfort of your home or office. Our web-based training courses workshops give you a strong foundation in the basics of Multivariate Data Analysis (MVA).

They are specifically adapted for online delivery, combining theoretical studies and practical exercises, so you can apply your new skills and knowledge immediately at work. They are ideal for people working in:

  • R&D / Product Development
  • Engineering / Maintenance
  • Manufacturing / Production
  • Process / Quality Control
  • PAT / Six Sigma / Lean groups
  • Marketing / Consumer insights

Optional ‘homework’ sessions are included for participants who want to do additional exercises. The number of participants are strictly limited to everyone can interact with the course leader.

Multivariate Data Analysis
This 2 day workshop has been designed to give participants a strong foundation in the fundamentals of Multivariate Data Analysis from pre-processing data to interpreting the results of powerful analytical techniques, Principal Component Analysis and Partial Least Squares regression.
  • Data handling and overview statistics
  • Principal Component Analysis(PCA)
  • Regression
  • Pre-processing
  • Interpretation of PCA and PLS results
 
We offer additional web-based training courses depending on demand. For more information on any of the courses below or to suggest a new course please email us
 
Introduction to Design of Experiments
  • Screening Designs
  • Optimization Designs
  • Mixture Designs
  • D-Optimal Designs
Classification methods
  • Introduction
  • SIMCA classification
  • PLS-DA classification
  • Classification comparison
 
MVA for Sensory
  • Evaluation of panel performance
  • Preference mapping
  • L-PLS
  • Clustering and classification
  •  
From The Unscrambler® 9.8 to
The Unscrambler® X

  • Matrix structure and Matrix calculator
  • DoE module and analysis
  • Pre-treatment preview
  • Export of models
 
 
 
Try version 10.2 of The Unscrambler® X
After the course I cannot stop using the Unscrambler, I'm loving it and I am getting much better results than I used to! Thanks for that!
Roberta De Bei
Post Doctoral Fellow
School of Agriculture,
Food and Wine
The University of Adelaide,
Waite Campus
 
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