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Cluster Analysis- Theory & workout using SAS and R - Udemy

Doelgroep: statistics and analytics professionals / students
Duur: 6,5 uur in totaal
Opleidingsvorm: online/e-learning
Richtprijs: $39.99
Taal: Engels
Locatie:
Aanbieder: Udemy

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  • About the course - Cluster analysis is one of the most popular techniques used in data mining for marketing needs. The idea behind cluster analysis is to find natural groups within data in such a way that each element in the group is as similar to each other as possible. At the same time, the groups are as dissimilar to other groups as possible.
  • Course materials- The course contains video presentations (power point presentations with voice), pdf, excel work book and sas codes.
  • Course duration- The course should take roughly 10 hours to understand and internalize the concepts.
  • Course Structure (contents) The structure of the course is as follows.

    • Part 01 - cluster analysis theory and workout using SAS

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    Motivation –

    • Where one applies cluster analysis. Why one should learn cluster analysis?
    • How it is different from objective segmentation (CHAID / CART )

    Statistical foundation and practical application: Understand

    • Different type of cluster analysis
    • Cluster Analysis – high level view
    • Hierarchical clustering –
      • Agglomerative or Divisive technique
      • Dendogram – What it is? What does it show?
      • Scree plot - How to decide about number of clusters
      • How to use SAS command to run hierarchical clustering
      • When and why does on need to standardize the data?
      • How to understand and interpret the output
    • Non-hierarchical clustering (K means clustering).
      • Why do we need k means approach
      • How does it work?
      • How does it iterate?
      • How does it decide about combining old clusters?
      • How to use SAS command to run hierarchical clustering
      • When and why does on need to standardize the data?
      • How to understand and interpret the output

    Part 02

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    Learn R syntax for hierarchical and non hierarchical clustering

    Part 03

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    Cluster analysis in data mining scenario

    Part 04

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    Assignment on cluster analysis


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