Introduction to PCA 101

Principal component analysis (PCA) is a projection method used to get an overview of data. It is useful for interpreting many types of data. Use this eLearning module for 30 days as a refresher of PCA theory or as an introduction to the concept. Learn what PCA is, how it works, and what you can use it for.

• Outline
• Introduction to PCA
• What does PCA do?
• Identify Data Patterns
• Outliers, clusters & groups
• PCA Terminology
• Data Preprocessing
• How PCA works
  • Scores and Loadings
• Interpreting the results
  • Cava and Champagne example
• Summary
  

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