Real World Data Science

Real World Data Science is a new data science content platform from the RSS. It is being built for data science students, practitioners, leaders and educators as a space to share, learn about and be inspired by real-world uses of data science.

Case studies of data science applications will be a core feature of the site, as will “explainers” of the ideas, tools, and methods that make data science projects possible. The site will also host exercises and other material to support the training and development of data science skills.

Real World Data Science is online at realworlddatascience.net. Follow us on GitHub, LinkedIn, Mastodon and Twitter.

Get involved

The project team has recently published a call for contributions, including guidelines for contributors. If you have a content idea to discuss, please email Brian Tarran.

Editorial team

Editor
Brian Tarran

Editorial Board
Sophie Carr, Bays Consulting (chair)
Sayma Chowdhury, Upwork
Lee Clewley, GSK
Jonathan Gillard, Cardiff University
Juhi Gupta, University of Manchester
Hollie Johnson, National Innovation Centre for Data
Harvey Lewis, Ernst & Young
Detlef Nauck, BT
Fatemeh Torabi, Health Data Research UK
Isabel Sassoon, Brunel University
Christopher Thiele, Uniper

Advertising and sponsorship

To discuss advertising and sponsorship opportunities, please email advertising@rss.org.uk.