Southampton Summer Statistics School 2026
Date:
28/07/2026 - 30/08/2026
Organised by:
University of Southampton
Presenter:
Dr James Hall
Level:
Intermediate (some prior knowledge)
Contact:
Dr James Hall
J.E.Hall@Soton.ac.uk
Venue: Online
A free online three-day programme of statistics training running from 28–30 July 2026.
Hosted by Southampton Education School, the Summer School is designed for professionals, academics and doctoral/postgraduate researchers working with numeric data, across disciplines. Participants can attend one, some or all sessions, with each session combining conceptual introduction with practical, hands-on activity.
The programme includes sessions on Structural Equation Modelling, Assessment data, Social Network Analysis, Multilevel Modelling, Machine Learning, and Causal Inference.
The Summer School is intended as accessible CPD for those looking to strengthen or refresh their statistical analysis skills in a supportive online format. Registration is free via Eventbrite: https://www.eventbrite.com/e/southampton-summer-statistics-school-2026-tickets-1990997448966
Cost:
free
Website and registration:
Region:
International
Keywords:
Analysis of secondary qualitative data, Data Collection, Data Collection (other), Quality in Quantitative Research, Quantitative Data Handling and Data Analysis, Statistical Theory and Methods of Inference, Regression Methods, Multilevel Modelling , Latent Variable Models, Factor analysis, Confirmatory factor analysis, Structural equation models, Item response theory, Data Mining, Machine learning, Mixed Methods Data Handling and Data Analysis, Social Network Analysis, ICT and Software, Quantitative Software, R, AI and machine learning, Data Mining, Machine learning, Structural Equation Modelling, Assessment data, Social Network Analysis, Multilevel Modelling, Machine Learning, Causal Inference
Related publications and presentations from our eprints archive:
Analysis of secondary qualitative data
Data Collection
Data Collection (other)
Quality in Quantitative Research
Quantitative Data Handling and Data Analysis
Statistical Theory and Methods of Inference
Regression Methods
Multilevel Modelling
Latent Variable Models
Factor analysis
Confirmatory factor analysis
Structural equation models
Item response theory
Data Mining
Machine learning
Mixed Methods Data Handling and Data Analysis
Social Network Analysis
ICT and Software
Quantitative Software
R
AI and machine learning
Data Mining
Machine learning