Data Analysis

A step-by-step, interactive introduction to Python for participants with no experience with this software package. 

The focus of this course is on learning advanced statistical methods using R.

This course will help build participants’ ability to work with data in R and undertake rigorous statistical analysis, including spatial analysis and linear regression, creating publication-standard graphs of the results. 

A practical introduction to the network perspective and social network analysis (SNA), with a focus on applications in political analysis.

This course is designed as an advanced course in Structural Equation Modeling (SEM) for existing AMOS and/or Mplus users. 

This course covers the foundations of designing, implementing and analysing basic online survey experiments in political science. 

This 5-day intermediate course will help you choose from a range of statistical procedures to analyse your data. It aims to provide participants with an ability to understand, run and interpret these procedures.   

A 5-day course designed for participants who have undertaken a qualitative study in their work or study and would like to build their theoretical knowledge and applied skill base in qualitative research.

This is an online, self paced introduction to core concepts, methods and tools in computational social science focusing on three themes: (1) networks as data; (2) text as data; (3) prediction and simulation.

Survival analysis is used to find out the time it takes for an event of interest to occur (e.g., death, birth, recidivism). This course is designed as an introduction to survival analysis.

This masterclass introduces students to choice models, discusses and contrasts the family of available model structures, and also talks about the data requirements, model estimation, and the use of models to produce outputs for policy. 

A 2-day applied introduction, providing a theoretical overview to discourse analysis using a variety of textual data, introducing you to critical methods for analysing and interrogating discourses. 

This course introduces core qualitative methods for political science, teaching how researchers collect and interpret unstructured evidence through immersive and interpretive approaches. It is structured around 3 types of qualitative data and the methods for collecting them: oral history, political ethnography and qualitative archival analysis.

An introduction to linear and non-linear predictive models, providing an interactive step-by-step guide to running these models, and key diagnostics using the R software platform.

This course is an introduction to time-series concepts and univariate time-series analysis. This course takes a practical applied approach (rather than mathematical), in running basic time-series analysis using Stata.

This course provides an overview of Longitudinal Data Analysis. As well as the statistical theory, an overview of the many applications and capabilities of LDA is given.

This course is designed as an introduction to mixed effects modelling. These models involve data arising from longitudinal studies or studies where the data exhibits some form of hierarchy, and sometimes referred to as multilevel modelling.

The aim of this course is to introduce students to the foundations of Critical Discourse Analysis and specifically the Fairclough method. 

This two-day course will address the issues of preparing for, collecting, managing and analysing  data from Face to Face and Focus Group interviews from a practical perspective.

Guidance for early career researchers on how to use the latest constructionist approaches, which treat our data as instances of complex behaviours and hence complementary to quantitative research.

This masterclass introduces students to choice models, discusses and contrasts the family of available model structures, and covers both estimation on data and the use of models to produce outputs for policy. 

This 5-day course aims to provide you with the understanding and experience to undertake a basic research project in the social or health sciences using Stata as the statistical tool.

The aim of this course is to introduce and build capacity for Interpretivist Methods in Political Science.

This course offers hands-on training in R programming for quantitative political analysis, paired with practical and responsible techniques for using AI assistants to write, debug, and verify data analysis code. 

This 2-day master-class provides a comprehensive introduction to the use of MAXQDA for qualitative analysis, focusing on harnessing its tools appropriately within methodological contexts. 

The workshop aims to provide researchers with essential skills in using the NVivo software. The focus is on developing the essentials skills from NVivo through hands-on experience.