Live Webinar

Teaching Multivariate Methods: Clustering and PCA

Oct. 9 | 12:00 – 1:00 p.m. ET (4:00 – 5:00 p.m. UTC)

Real-world data can be highly multivariate, and students in statistics, data science, and the physical and social sciences should be equipped to analyze such data with appropriate multivariate analysis methods. JMP statistical software can make multivariate methods more accessible and engaging to students through its interactive, no-code interface.

This webinar will present JMP tools and tips for teaching two common and widely applicable multivariate methods: clustering and principle components analysis (PCA). Topics will include:

  • Overview of unsupervised learning methods in JMP
  • Exploring and understanding multicollinearity
  • Teaching examples of hierarchical clustering and PCA
  • Relevant teaching tips and resources from the JMP Academic team

Register now for this free webinar.

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