Full Stack Java

Full Stack Java

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Last Update October 13, 2021
5 already enrolled

About This Course

Full Stack Python

Learning Objectives

From one-off customer satisfaction surveys to brand tracking surveys that are administering on a continuous basis, they provide the information that marketers need to understand how their products, services and brands are seen by consumers.
In Analytic Methods for Survey Data, statistical learners will become familiar with established methods for converting survey responses to insights that can support marketing decisions.
Techniques discussed include factor analytics, cluster analysis, discriminant analysis and multi-dimensional scaling.

Requirements

  • XL Stat
  • Excel Add-on

Target Audience

  • Students
  • Business Owners

Curriculum

18h 45m

Factor Analytics

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Cluster Analytics

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Free
Level
All Levels
Duration 18.8 hours

Material Includes

  • Videos
  • Booklets

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