By Matt Archer, Paul Brown, Stephen Dowsland, David Mawdsley, Amy Krause, Mark Turner (order is alphabetical).
So… you’ve just started on an exciting new data science project, but you know nothing about the domain you’re working on. Besides briefly panicking, how do you get up to speed on the area you’re working on?
By Matthew Archer, Stephen Dowsland, Rosa Filgueira, R. Stuart Geiger, Alejandra Gonzalez-Beltran, Robert Haines, James Hetherington, Christopher Holdgraf, Sanaz Jabbari Bayandor, David Mawdsley, Heiko Mueller, Tom Redfern, Martin O'Reilly, Valentina Staneva, Mark Turner, Jake VanderPlas, Kirstie Whitaker (authors in alphabetical order)
By R. Stuart Geiger, Alejandra Gonzalez-Beltran, Robert Haines, James Hetherington, Chris Holdgraf, Heiko Mueller, Martin O'Reilly, Tomas Petricek, Jake VanderPlas (authors in alphabetical order)
Steve Harris' article "Data Science for Docs" was recently published as the guest editorial in Bulletin, July 2017, the magazine for members of The Royal College of Anaesthetists, which reaches every anaesthetist in the UK (it's the largest hospital speciality).
You can find the article on pages 12 and 13 of Bulletin, Issue 104.
By Raniere Silva, Software Sustainability Institute.
By Steve Harris, University College London Hospital, and Software Sustainability Institute Fellow.
This article was first published at Data Science Breakfast Club.
By Raniere Silva, Community Officer, Software Sustainability Institute.
With more than 48,000 job listings for data scientists on LinkedIn right now, but with fewer than 20,000 people registered with that title, the growing skills shortage in big data analytics has never been more evident.
In an increasingly digital world, computing and data interpretation have become fundamental to our way of life, from the way we interact with the world and develop new ideas, to the way we conduct research and do business across all sectors.
To enhance early career researchers’ job prospects and upskill high-tech workforces, the Hartree Centre Summer Schools…
The Open Data Science Initiative project is organising a Data Science Workshop (Data@Sheffield) on the 16th December. The event is free to attend and will take place the day the December Data Hide. This workshop will be an opportunity to explore and develop ideas and define clear directions for the Open Data Science Initiative.
The Data Science Initiative is a cross faculty project. They regularly host Data Hide events. The topics at Data Hides cover a number of different topics:practical talks about how researchers can open and share their…