How to understand and visualise data with SPSS

Learn about how and when statistical techniques can add value to projects

Cancelled

Overview
This course gives an overview of the most commonly used and recognised statistical techniques in market research, such as those underpinning Key Drivers (Regression) and Segmentation (Factor and Cluster Analysis and CHAID), so that delegates can understand how and when they can add value to projects.

We will show you how to work with ‘IBM SPSS Statistics’ – a popular and powerful tool for running and visualising research data. We’ll also provide a step-by-step guide for some simple example analyses, enabling you to get started in running these types of analyses yourselves without being restricted to spreadsheets or relying on statistical colleagues.

Learning outcomes:

• The main multivariate techniques used in MR Analytics (eg Cluster, Factor, regression, CHAID) and an understanding of how they can add value to projects
• How to start using SPSS for analyses and build a springboard from which to learn further
• Confidence in using an alternative package like SPSS when more advanced analyses are needed, without being restricted to the front-end capabilities of spreadsheets

Who will benefit:
Numerate quantitative researchers who wish to draw additional insight from their data, as well as statisticians starting careers in market research who need to learn more about these key techniques used.