Practical, accessible learning in statistics
At the UCL Centre for Applied Statistics Courses (CASC), our statistics short courses help you interpret and conduct research with confidence. Teaching combines clear explanations, hands-on activities, and detailed notes in a relaxed, inclusive environment where questions are encouraged.
No prior statistical knowledge is needed for our introductory courses or our winter and summer schools. More advanced courses assume a basic understanding of core concepts. Courses are delivered live on weekdays, with occasional evening options. Many are also available as self-paced online modules.
Bespoke courses
Bespoke sessions tailored to your team or organisation. Get in touch to explore flexible options that work for you.
On-demand self-paced courses
We offer courses in a self-paced format. Study anytime, at your own pace, with online support throughout.
Frequently Asked Questions
Explore answers to common questions about our applied statistics courses.
What's on
View all course dates16 Feb
23 Feb to 25 Feb
Explore our full range of statistics courses
- Spring School: Statistical Foundations of Data Science with R (09-13th March 2026)
- Statistical Modelling and Classification of outcomes Logistic Regression *^§
- Modeling Count Data with Poisson Regression *^
- Time-to-Event Data: An Introduction to Survival Analysis and Cox Regression *^
- A Guide to Assessing Measurement Reliability and Validity *§
- Understanding Uncertainty with Priors and Posteriors: An Introduction to Bayesian Thinking *§
- Applied Categorical Data Analysis for 2x2 Tables with Chi-Square and Alternatives *
- Introduction to Latent Class Analysis *
- Combining Studies: Practical Meta-Analysis for Beginners *§ (with optional R workshop~ and Stata Workshop)
- Understanding and Handling Missing Information in Datasets *§ (with optional R/SPSS/Stata workshop)
- Foundations of Statistical Modelling and Linear Regression *§ (with optional SPSS/R/Stata workshop)
- Data Management and Statistical Analysis with SPSS *✝
- Foundations of Data Analysis with R *✝§
- R Programming: Expanding your R skills with loops, functions and more *~
- Statistical Analysis with Stata: A beginner's guide *✝
- Introduction to tidyverse and ggplot2
- Introduction to Data Analysis using MATLAB
- From Data to Decisions: An Introduction to Machine Learning
* Knowledge of basic statistical concepts is required/beneficial; we recommend the Introduction to Research Methods and Statistics course if you have little/no previous statistics experience; this course offers a good basis for all other CASC courses.
~ requires prior knowledge/experience of the R software.
^ We recommend attending the Introduction to Regression Analysis course first if you have no prior experience of regression analyses.
✝ Evening dates often available for this course
§ Self-paced online materials available for purchase
About the centre
Founded in 2008 by Emeritus Professor Angie Wade, CASC is based at the UCL Great Ormond Street Institute of Child Health. CASC is led by a dedicated team of experts who design and deliver high-quality training in statistical methods and research design.
Meet the team
- Professor Angie Wade – Founder
- Dr Eirini Koutoumanou – Director
- Dr Dean Langan – Head of On-Demand Learning
- Dr Chibueze Ogbonnaya – Deputy Director
- Dr Catalina Suarez-Rivera – Associate Lecturer
- Dr Manolis Bagkeris – Associate Lecturer
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Sign up todayContact
Centre for Applied Statistics Courses (CASC)
UCL Great Ormond Street Institute of Child Health
30 Guilford Street
London, WC1N 1EH
