About the programme
π¦ What is RAP?
RAP (Reproducible Analytical Pipelines)β―are a set of tools, principles, and techniques that enable analysts to create analytical processes that are automated, transparent, quality assured and reusable. This has the potential to increase efficiency and quality of analytical work across the healthcare system.
The Goldacre review recommended RAP as the minimum standard for academic and NHS data analysis.
π What is the RAP Accelerator?
A programme for ICB analysts starting their RAP journey, building the foundational skills to apply these approaches in practice. Some coding experience is expected (see prerequisites), along with enthusiasm to learn.
It runs as a flipped classroom. Youβll work through learning material at your own pace before each session, then use session time with tutors for discussion, problem-solving, and going deeper.
π Course outline
| Theme | Topics | |
|---|---|---|
| β»οΈ Reusable | Write modular, well-documented code thatβs easy for you and others to understand and reuse | |
| π Visible | Make your projects easy to find and use with clear READMEs, licenses, and documentation | |
| π₯ Collaborative | Work effectively with others using Git, code review, and good communication habits | |
| π‘οΈ Reliable | Build trust in your code through testing, automation, and reproducible environments | |
| π Capstone | Put it all into practice on a real project with feedback and support |
Each session includes:
- 60-90 mins of self-directed pre-work (reading, small exercises)
- 60 mins contact session with the tutors
Weβll also have an online community for attendees to ask questions to tutors or chat with peers running throughout the ten weeks.
We wonβt cover:
- Basic R or Python programming (We expect you to already know a little programming)
- Plotting and visualisation
- Modelling and machine learning
- Using LLMs
- Building interactive web apps