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Multivariate Data Analysis School

 

 

  • A General Overview of Multivariate Methods
  • Classical Multivariate Methods
    • Principal Component Analysis (PCA)
    • Factor Analysis
    • Simple & Multiple Correspondence Analysis
    • Discriminant Analysis
    • Cluster Analysis
  • Overview of Advanced Multivariate Methods
  • Case Studies
  • Summary
Targeted toward non-statisticians who use statistical methods - researchers, sensory analysts, graduate students and statisticians interested in an applied workshop, this 5-day course focuses on the practical aspects of the most widely used multivariate methods.Knowledge of basic principles of descriptive analysis is recommended.
Upon completion of this module, participants will be able:
    • To determine which multivariate statistical methods can be used for a given study objective
    • To choose the most appropriate multivariate technique for their data
    • To perform the analysis using their own software
    • To extract the pertinent or relevant information from the output provided by the software
    • To read and interpret numeric and graphical software output
    • To report and communicate the results of the analyses

Recommended Duration: 4 day(s)

Course Materials:

TBD

Case Studies:

N/A