Learning & Capacity Building
Practical learning for public-health research
Our structured online learning is delivered through TrainerCentral, where enrolment and completion can be recorded. Certificates are advertised only for activities whose assessment and completion requirements have been configured and tested.
Learning turns our mission into practice. We teach the reasoning behind populations, comparisons and analytical methods alongside the technical skills needed to apply them responsibly.
New to R? The planned Introduction to R course is being designed for learners with no previous programming experience. Enrolment details will be published only after the complete learner journey has been tested.
Courses in Development
In development
Introduction to R for Public Health
A beginner-friendly introduction to R, covering data import, manipulation, visualisation, and basic statistics in a public health context.
Duration: ~3 hours · Level: Beginner
Certificate: Planned, subject to successful testing of the assessment and completion process
Denominator Literacy Case Studies
Focused case studies will connect Think Denominator’s central idea with practical public-health decisions. Their scope and readiness are maintained on the Denominator Literacy page; enrolment links will appear there when each case has been completed and tested.
The researcheR Handbook
In development
researcheR
A practical R handbook for researchers who want to strengthen their analytical skills and develop clear, reproducible workflows. It will connect explanation, worked examples and reusable approaches so readers can understand both what to do and why.
researcheR is part of Think Denominator’s capacity-building programme and will complement our courses and instructor-led workshops.
Instructor-led Workshops
We also run cohort-based workshops for registered participants. Workshop materials are shared directly with each cohort and are not listed on the public website.
For Organisations
We offer bespoke training programmes for research teams, public health departments, and academic institutions. Courses can be tailored to your specific data environment and analytical needs.