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Udacity

Segmentation and Clustering

via Udacity

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Overview

The Segmentation & Clustering course provides students with the knowledge to build and apply clustering models to develop sophisticated segmentation in business contexts.

Syllabus

  • Segmentation Fundamentals
    • Understand the difference between localization, standardization, and segmentation
  • Preparing Data for Clustering
    • Scale data to prepare a dataset for cluster modeling. Select variables to include based on the business context.
  • Variable Reduction
    • Use principal components analysis (PCA) to reduce the number of variables for cluster model
  • Clustering Models
    • Select the appropriate number of clusters. Build and apply a k-centroid cluster model.
  • Validating and Applying Clusters
    • Validate the results of a cluster model. Visualize and communicate the results of a cluster model.

Taught by

Rod Light

Reviews

4.3 rating at Udacity based on 9 ratings

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