Webinars and Workshops

Please note:

May 2026

📆 21st Building Reproducible Pipelines for Open Health Data: From Ingestion to Geographical Analysis and Visualisation with Mattia Ficarelli, PhD:

This webinar will explore how to design reproducible, automated pipelines for working with open health data, covering data ingestion, reuse of public datasets, and scalable approaches to processing and analysis. It will focus on managing geographical complexity, including mapping across NHS and statistical geographies over time, and demonstrate practical methods for analysing and presenting results clearly.

June 2026

📆 18th Building a Reproducible Analytical Pipeline (RAP) for Simulation with Python and R with Amy Heather:

Reproducible Analytical Pipelines (RAPs) are becoming essential in the NHS for producing transparent, trustworthy analysis and modelling at scale. In this webinar, we’ll walk through a full RAP built around a discrete‑event simulation (DES) model, using examples from the DES RAP Book (https://pythonhealthdatascience.github.io/des_rap_book/). We’ll show how we created DES models in both SimPy (Python) and simmer (R), while meeting the NHS Levels of RAP criteria at gold status. We’ll highlight practical steps you can take to make your own work more reproducible and robust.

July 2026

📆 02nd Cookiecutter Webinar - How to embed consistent best practice when setting projects up at speed! with Joe Wilson and Dr Rosemary Walmsley:

We will cover the why, what and how of using cookiecutter templates for projects. Cookiecutter is a package that makes it easy to set up a project using a template. This webinar is for you if you already code, and want to save time, set up projects more easily, and effortlessly follow good practice. If you have a team, it can help you increase consistency and share learning within the team. Cookiecutter can be used on projects in any language, but needs Python to run, so this session is relevant for all but especially so for Python users.

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