3 day

An introduction to supervised machine learning techniques for data science, providing an interactive step-by-step guide to running some of the standard statistical regression and classification machine learning models that every data scientist should know. 

A practical, hands-on approach to the key writing challenges qualitative PhD researchers face at every stage of the journey, from crafting a coherent methodology chapter to writing up qualitative data in a way that does justice to your findings. 

This is an introductory unit for individuals with limited or no previous experience with qualitative traditions or techniques of inquiry.

This course is designed to cover the fundamental principles of Structural Equation Modeling (SEM) and introduce the AMOS and/or Mplus software packages to estimate structural equation models.

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. 

An introduction to Large Language Models (LLMs) in the context of social sciences, offering hands-on, practical experience - no coding expertise or advanced maths skills required.
 

An introductory course designed for the individual with limited or no previous experience with qualitative techniques of data collection and analysis.

An applied comprehensive understanding of focus group design and moderation, establishing the theory and methods of focus group research and offering techniques for managing challenging groups.

This masterclass offers a step-by-step, interactive introduction to R and RStudio for participants with no experience with these software packages.

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.

An introductory course designed for the individual with limited or no previous experience with qualitative techniques of data collection and analysis.

Whether you're looking to add AI to your research toolkit or just curious about what deep learning can do, this masterclass will give you the foundation you need to start experimenting with confidence.

This master-class has two objectives – to teach the design principles required to make plots that really have an impact on the reader, and to teach the practical skills required to create these plots within the R software package.