Analysing Election and Public Opinion Data (online)



Organised by:

The University of Edinburgh


Dr. Ugur Ozdemir is a Senior Lecturer in Quantitative Political Science at the University of Edinburgh, UK.


Intermediate (some prior knowledge)


Laura Marshall
Working week: Monday - Thursday

video conference logo

Venue: Online


This course offers a deep dive into the analytical techniques used to dissect election and survey data, providing insights into the mechanics of political behaviour and electoral dynamics. Participants will explore a range of statistical methods and models, from measuring ideological leanings and voter segmentation to modelling electoral behaviour. Through a blend of theory and practical application using real-world data and case studies, the course aims to equip attendees with a nuanced understanding of the complexities behind voter decisions, political polarisation, and electoral participation. Ideal for political scientists, sociologists, and policymakers, this course promises a transformation in how participants interpret election and survey data, preparing them for advanced research and strategic analysis in the political sphere.


No advanced R skills are needed for the course, but a basic understanding of R will aid in following the practical examples.

Course Timings: 09:00 - 17:00


The fee per teaching day is: • £30 per day for students registered at UK/EU University. • £60 per day for staff at UK/EU academic institutions, UK/EU Research Councils researchers, UK/EU public sector staff and staff at UK/EU registered charity organisations and recognised UK/EU research institutions. • £100 per day for all other participants In the event of cancellation by the delegate a full refund of the course fee is available up to two weeks prior to the course. NO refunds are available after this date. If it is no longer possible to run a course due to circumstances beyond its control, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. NCRM shall not be liable for any costs, losses or expenses that may be incurred as a result of its cancellation of a course, including but not limited to any travel or accommodation costs. The University of Southampton’s Online Store T&Cs also continue to apply.

Website and registration:




Survey Research, Behavioural Research, Secondary Analysis, Quantitative Data Handling and Data Analysis, Latent Variable Models, Data Visualisation, Regression methods

Related publications and presentations:

Survey Research
Behavioural Research
Secondary Analysis
Quantitative Data Handling and Data Analysis
Latent Variable Models
Data Visualisation

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