Factor and Cluster Analysis with IBM SPSS Statistics

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Factor and Cluster Analysis with IBM SPSS Statistics training webinar

Join us on this 90 minute training webinar to learn about conducting factor and cluster analysis in IBM SPSS Statistics.

Factor analysis is a data reduction technique used to identify underlying themes (“factors”) among a range of attributes/variables:

  • Using factor analysis, an automotive company with 20 drivers of customer satisfaction can reduce them down to 3 underlying key themes/pillars: product, service and brand
  • Variants of factor analysis, such as principal components analysis (PCA) can be used to reduce the number of input fields in predictive models by generating composite variables
  • Factor analysis can be used to generate a score for individual people completing personality tests showing where they lie on behavioural dimensions such as introversion-extroversion

Cluster analysis is also used in a wide range of applications for the commercial and not-for-profit organisations, such as:

  • Segmenting consumers according to their purchase behaviours
  • Clustering similar retail outlets based on their sales patterns
  • Creating charity supporter segments based on their donations
  • Identifying suspicious or anomalous financial transactions

The 90 minute training session includes:

  • Introducing factor analysis
  • Exploring correlations
  • Performing principal component analysis
  • Interpreting output
  • Rotated solutions
  • Performing factor analysis
  • Analysing component scores
  • Introducing cluster analysis
  • Comparing cluster methods
  • Performing cluster analysis
  • Interpreting output
  • Exploring cluster groupings

“Well presented, grounded in practical use, well described terminology”

Lawrence Monk, Forecasting Team Leader, Transport for Greater Manchester

“The course was excellent, to the point and not too technical, exactly what I’ve been looking for for a while.”

Course attendee

“The webinar provided a clear and well-structured introduction into the topic. It was well-paced and operates with relevant examples. All the materials presented were helpful and the delivery accessible.”

Daniel Staetsky, Senior Research Fellow, Institute for Jewish Policy Research

Who should buy this course?

  • Students and academics who need to use factor or cluster analysis in their research
  • Anyone who is using SPSS Statistics and wants to understand how to perform factor or cluster analysis in the software
  • Marketers who want to understand how to better segment their customers, products, stores or any other entity

Part number TRCfaccluster90


A veteran of the predictive analytics industry working under the auspices of SAS, IBM and SPSS, Jarlath is pre-sales director at Smart Vision Europe. He is one of the most experienced SPSS trainers in the industry.
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