Webinars and Workshops

Please note:

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.

September 2026

📆 10th UK Address Matcher: High performance free address matching software with Tom Hepworth:

_Address matching is a common challenge when working with messy, inconsistent, or incomplete address data. In this webinar, we’ll introduce uk_address_matcher, an open-source Python package for matching UK addresses to canonical address datasets such as Ordnance Survey AddressBase or OS NGD. We’ll demonstrate how the package can be used to run fast, transparent, and reproducible address matching workflows, including how to interpret match scores and choose appropriate thresholds. The session will also introduce ukam_os_builder, a companion package that helps users quickly access and prepare Ordnance Survey data under PSGA licensing, making it easier to get started with high-quality reference data. The webinar will include practical examples and discussion of how these tools can support robust analytical pipelines.

Links: https://github.com/moj-analytical-services/uk_address_matcher https://github.com/moj-analytical-services/ukam_os_builder_

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