Reproducible Research in Health Data Science
This is an in-person event only. There is an upper limit of 30 participants.
About the workshop

Creating reproducible code can be a daunting task and it is often unclear where to start. In this workshop, we aim to demonstrate Github and how to make your first open source contribution. We will discuss common problems that you may face when getting started. The course will utilize Python software throughout and participants will need to bring their own laptops in order to fully engage with the coding exercises.

Who is it for?

Anyone working in data science or a closely related field who is interested in making their code more reproducible.
Anyone with basic experience of coding in a programming language (e.g. R, Stata, Python)
Date: 16 June 2023, 9:30 (Friday, 8th week, Trinity 2023)
Venue: Big Data Institute, Old Road Campus OX3 7LF
Venue Details: LG0 Seminar Room
Speakers: Shing Chan Chang (Big Data Institute, University of Oxford), Hang Yuan (Big Data Institute, University of Oxford)
Organising department: Nuffield Department of Population Health
Organiser: OXSTAT (University of Oxford)
Organiser contact email address:
Host: OXStat (University of Oxford)
Booking required?: Required
Booking url:
Cost: Free
Audience: Members of the University only
Editor: Derrick Bennett