This page contains books, courses, tutorials, interactive learning tools and communities of practice that may be of use to people wanting to build their skills in healthcare analytics, modelling and data science.
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DES RAP Book is an open resource and website for building discrete-event simulation (DES) models within a reproducible analytical pipeline (RAP), supporting the healthcare simulation community. DES models are often used for building simulations of pathways and services, allowing 'what-if' questions to be tested. The resource demonstrates practical, code-based workflows and tools to help researchers and practitioners develop, validate, and share DES models in Python (SimPy) and R (simmer), ensuring models are reproducible.
This is a collection of slides, session recordings, code examples, exercises, exercise solutions and solution videos from the discrete event simulation (DES) module of the Health Service Modelling Associates Programme, covering 9 hours of content. It teaches discrete event simulation with the Python SimPy package, assuming no prior knowledge of the package or DES concepts. DES is helpful for building simulations of pathways and services, allowing 'what-if' questions to be tested.
The Discrete Event Simulation (DES) playground is an interactive web application designed to teach the fundamental concepts of DES to absolute beginners. Used to support a range of training sessions, it can also be used as a standalone tool to introduce yourself to why DES is useful, building up from a very simple to a more complex model and allowing you to explore the impact of changing a range of parameters. DES is used for building simulations of pathways and services, allowing 'what-if' questions to be tested.
The Little Book of Discrete Event Simulation (DES) is a free eBook written to accompany the DES module of the Health Service Modelling Associates (HSMA) programme. DES is a technique used for building simulations of pathways and services, allowing 'what-if' questions to be tested. The book takes you from being a complete beginner in DES through to creating complex models with a web interface. This Python resource primarily focusses on the SimPy package, also touching on Streamlit and various supporting packages.
Website with snippets of Julia code helpful for modelling health care systems.
The NHS RAP Community of Practice, maintained by NHS England, supports analysts and teams in adopting reproducible analytical pipeline (RAP) methods.
Data science course aimed at experienced Health and Social Care Data Professionals.