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For Government (.gov.uk)
ODI Learning courses for UK civil servants. Book via Government Campus.
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CPD accredited training
Our courses are CPD accredited for Civil Service continuous professional development.
Course directory
Core curriculum
Data and analysis: Foundations of Public Administration
The flagship core curriculum course for policy professionals who need to be an intelligent customer for data analysis.
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1
Data and analysisWorking Tutor-led
Act as an intelligent customer for data analysis: articulate requirements to analysts and communicate results to decision-makers.
Data ethics pathway
Build ethical data and AI practice step by step
From free essentials through practitioner depth to the certified Data Ethics Professionals programme.
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1
Data ethics essentials [FREE]Foundation Self-paced
Introducing what data ethics is and why it matters for working with data and AI.
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2
Navigating innovation responsibly with data and AI ethicsWorking Tutor-led
Introduction to data ethics and responsible innovation with data and AI.
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3
Understanding data ethics and AIWorking Self-paced
Apply practical data ethics across the lifecycle, covering personal data, governance, bias and embedding ethics in practice.
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4
Running ethical impact assessments Coming soonWorking Self-paced and tutor-led
Decide when an ethical impact assessment is needed, choose appropriate tools and frameworks, and apply them to data and AI projects.
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5
Data protection and AI regulation essentials Coming soonWorking Self-paced and tutor-led
Apply data protection and AI regulation in practice, including licensing and transparency and explainability requirements.
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6
Building fair and reliable AI models Coming soonWorking Self-paced and tutor-led
Apply predictive AI to real data, and detect and address bias and fairness issues in models and datasets.
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7
Generative AI: driving innovation in data practicesWorking Tutor-led
Opportunities and risks of generative AI across the data lifecycle, with responsible-use framing.
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8
Data Ethics ProfessionalsWorking Tutor-led
Our certified flagship programme: build the knowledge and skills to use, collect and share data responsibly; work through personal data, third-party sources and ethics in analysis; join a peer network with ongoing learning events; and use your certification to improve data ethics practice in projects and organisations.
Data management and governance pathway
Govern data properly across its lifecycle
From open data foundations through healthy ecosystems and strategic skills to advanced linked data publication.
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1
Open data in a dayFoundation Tutor-led
Discover, use and describe the benefits of open data and how licensing and metadata support good governance.
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2
Building a healthy data ecosystemFoundation Self-paced and tutor-led
Map your data ecosystem, identify common barriers, and manage change and culture.
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3
Strategic data skillsWorking Self-paced and tutor-led
A practical exploration across the data lifecycle for non-data people, from data collection and bias evaluation through to storytelling.
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4
Publishing open linked dataExpert Tutor-led
Publish open linked data using CSVW, vocabularies and linked data standards for interoperable publication.
Data in practice pathway
Make sense of data and apply AI
Analysis for decision-makers, machine learning fundamentals, and generative AI across the data lifecycle.
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1
Organising and validating dataFoundation Self-paced and tutor-led
Organise and clean data, quality-check it, and improve utility and interoperability.
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2
Telling stories with dataFoundation Self-paced and tutor-led
Produce and present data visualisations that deliver a connected, relevant narrative.
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3
Empowering data innovation through machine learning and AIWorking Tutor-led
Non-technical introduction to machine learning and AI techniques applied to real data.
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4
Generative AI: driving innovation in data practicesWorking Tutor-led
Opportunities and risks of generative AI across the data lifecycle, with responsible-use framing.
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5
Building fair and reliable AI models Coming soonWorking Self-paced and tutor-led
Apply predictive AI to real data, and detect and address bias and fairness issues in models and datasets.
Coming soon
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