Virtual-training2
 

Multivariate and other statistical techniques for use in research.

This two day training programme will give researchers who work with statistical methods, or use their results, a thorough practical understanding of all the main statistical techniques used in survey research. Experienced statistical practitioners will give you clear insights into how the techniques should be applied, and how to interpret the results.

Level

Advanced

Who will benefit from this course?

Research practitioners who need to apply statistical techniques to their data, and research users who need to examine and understand the results of these techniques. Typically delegates should have 1-3 years' research-related experience, and some limited experience of statistical techniques.

Aims and objectives

Applying statistical techniques and using their results can often lead to confusion rather than clarity. This course will reverse that tendency by showing you:

  • Which techniques should be used in different situations
  • How to apply the techniques to your data
  • How to choose between alternative options within each technique
  • How to understand and apply your results
  • How to interpret your results into actionable conclusions

Learning Outcomes

The course, will gives delegates an effective practical understanding of applying:

  • Basic statistical techniques to calculate confidence intervals and significance tests
  • Factor analysis to summarise attitudinal and image data, revealing underlying concepts
  • Cluster analysis and CHAID to segment data sets into actionable subgroups
  • Conjoint analysis and related techniques to examine your data at respondent level
  • Correspondence analysis and other mapping techniques to create insightful ways of understanding relationships within your data
  • Regression analysis to understand interactions between data variables
  • Data fusion to merge together data sets, allowing analyses combining measures from separate surveys

Trainers Biographies

Dr Aji Ghose has over a decade of experience in AI, machine learning, and market research and is a seasoned expert passionate about transforming the industry. Aji serves as the Vice President of Data & Research at Chattermill, an AI-powered platform to help companies understand and improve customer experience, where he leads Data Science, MLOps, and MLEng. Previously, he was the Head of Research & Analytics at Sky, managing a large group of data scientists, researchers, and analysts. Aji earned his PhD in Computational Cognitive Science, specialising in deep learning, from Birkbeck, University of London. He holds an MSc in Computer Science with Artificial Intelligence from the University of York. Aji also serves as a chair and lecturer for Data Science, Statistics, and AI courses at the Market Research Society.

 

AI funding available

New funding for up to 50% of the cost of training employees in AI skills is now available. Run by the Department for Science, Innovation & Technology, the fund is available for applications until the 31 May 2024 and is aimed at SMEs in the professional and business services sector. Please see details on how apply here.

Testimonials
"An interesting, stimulating, well paced course that provides a great introduction to qualitative research."

Andrew Elder - Policy Expert, March 2023

"Valuable."

Bukola Sowunmi - UNILEVER, November 2022

"Informative"

Sean Betsy - Skopos, March 2022


Additional Information

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