Introduction to Advanced Statistical Techniques

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.

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/Learning Objectives

• 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 will 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.

Course Delivery Mode

Online

Trainer Biography

Megan Peitz is the Founder and CEO of Numerious, a strategic quantitative consulting firm that helps companies make smarter decisions through advanced analytics.  

A passionate educator and speaker, Megan is known for making advanced quantitative methods accessible to insights, product, marketing, and research teams regardless of their statistical background. Through Numerious, she champions curiosity, innovation, open-source tools and education-forward consulting, helping teams not only get stronger research outcomes but also build the confidence to understand and apply the methods behind them.

Megan completed her Master's Degree in Mathematics & Statistics from Georgetown University (USA), has received multiple best paper awards at the Sawtooth Research Conference (2019, 2024, 2025), has been published in the Journal of Choice Modeling (2019) and has helped some of the world’s largest companies, including Google, Docusign, Lululemon, Notion, and more, fine tune their products and services with research.  

Testimonials

“Excellent day, covering many items in the quant researcher's toolkit. Dealt with a range of complex procedures and made them very accessible with industry-based (not academic) examples.”

Nick Clay – NRLA, March 2025

“Exactly what it says on the tin - with a very engaging, knowledgeable, experienced instructor.”

Miba – NMG Consulting, March 2025

“A great starting point to demystifying some of the most complex techniques in advanced research. It equipped me with new and insightful ways to explore the relationships in our existing data, and immediately start applying new techniques like MaxDiffs, TURF and Conjoints.”

Jon Griffiths – The Times & Sunday Times, October 2024