Understand the how and when advanced statistical techniques are used and understand which business questions they address


The growth in integrated solutions and DIY platforms means that advanced statistical techniques (such as cluster analysis and conjoint analysis) are available to an ever-increasing number of market researchers and insight professionals. Having access to the tools, however, doesn’t automatically mean you know how to choose and deploy the appropriate technique.

This course provides a map that outlines the terrain, highlights the hazards and gives guidance on the best routes to take when using advanced statistical techniques. It outlines a range of advanced tools, discusses which business questions they address, shows what sorts of data are required, and highlights their strengths and weaknesses.

The techniques covered include: Factor Analysis, Cluster Analysis, Correspondence Analysis, Regression Analysis, Conjoint Analysis and MaxDiff. Other techniques mentioned and placed in the wider context include: TURF Analysis, Price Sensitivity Meter, Structural Equation Modelling, Logistic Regression and Machine Learning.

You will also receive a copy of the textbook ‘Analytics For Customer Insights: A Non-Technical Introduction’ – by author Chuck Chakrapani (2018).

The course does not assume any advanced statistical knowledge, and does not assume that you will be using any specific software package. However, you will get more from the course if you already have some background knowledge and/or are using one of the platforms such as SPSS, Displayr, or the statistical language R.

Learning outcomes


  • Understand the difference between dependence techniques (e.g. regression) and interdependence techniques (e.g. factor analysis)
  • How to map techniques to specific business/research needs/questions
  • Appreciate the strengths, weaknesses and requirements of the key advanced statistical techniques


Who would benefit


People looking for an overview of advanced statistical techniques. Typical participants include those commissioning research, researchers wishing to broaden their role, and those considering specialising in advanced quantitative techniques.

"Informative and suitable for both those that love/are scared of Statistics."

Keith Allen, Hotspex
01 October 2019

"An indepth look for people with awareness of techniques already."

Anna Murphy, A+E Networks
01 October 2019

Additional Information

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