ADR UK’s training and capacity building is delivered primarily through Datacise Open Learning, in partnership with Population Data Science at Swansea University, the SAIL Databank, and other UK and international institutions. This is complemented by additional contributions from national partners across the UK:
- ADR England works with partners across sectors to deliver training focused on key areas within ADR UK flagship datasets.
- ADR Wales offers a comprehensive set of courses through the Datacise Open Learning platform.
- ADR Scotland provides the Introduction to Administrative Data Research and Analysis course, a popular program featuring expert-led lectures and practical exercises in R. Topics include data provenance, ethical contexts, record linkage, data visualisation, and more.
- ADR Northern Ireland will soon be releasing new flagship datasets for research use. Stay tuned for upcoming training offerings tailored to these datasets.
Browse the list below to explore dataset-specific courses and training opportunities designed to improve knowledge of flagship datasets and enhance technical skills. For a complete list, select ‘View All’ at the top right.
For a wider range of flexible, self-paced training, Datacise Open Learning offers a comprehensive suite of courses and resources.
To view other types of events, such as conferences, visit the ADR UK Events page.
Upcoming training from ADR UK
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Determining Healthy Households
Self-paced
This is a self-paced ADR UK course on how to create Household Units of Analysis (HUAs) from line-level pseudonymised GP patient data.
Read more
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Data quality aspects of administrative data
28/05/2026
Join this in-person course delivered by ADR Scotland to learn about the importance of data quality when working with administrative data.
Read more
About Datacise Open Learning
Datacise Open Learning is ADR UK’s primary training and capacity building platform, offering high-quality, flexible training across data science disciplines.
It supports learning across the ADR UK partnership and contributes to training development across the wider programme.
Datacise supports learners at all levels, from those new to administrative data through to advanced data science practitioners, with a range of self-paced and applied learning opportunities. Courses are designed to be flexible and accessible, with many available as self-paced modules that can be applied directly to real-world research. Topics include administrative data fundamentals, data linkage, data quality, visualisation, and advanced analytical methods.
Recommended courses and resources
We periodically gather recommendations from our grant recipients on courses they have completed and found valuable for researchers working with administrative data. If you have recently taken a course you found especially helpful, please let us know so we can share it with others.
To explore introductory learning resources and courses on what administrative data is and how you can use it, check out the examples on Getting started with administrative data.
National Centre for Research Methods (NCRM): Training and events
NCRM offers a searchable training database with a wide range of courses. Past highlights have included courses on data visualisation, statistical methods, and advanced modelling techniques.
Institute for Government (IfG) Academy: Engaging with government workshop series
The IfG Academy provides a series of workshops focused on effective government engagement strategies. These sessions offer valuable insights and practical skills for interacting with government institutions.
LinkedIn Learning
Access to LinkedIn Learning requires an account, but it offers a wide selection of courses valuable for data professionals. Recommended options include the Structured Query Language for Data Analysis series, ideal for building foundational skills in data management and analysis.
Swansea University: Health data science courses
Swansea University provides both introductory and advanced courses on the analysis of linked health data. While these courses focus on health datasets, the analytical skills taught are valuable for researchers working with various types of data.
