The Data Science Accelerator mentoring programme is expanding to offer a new data visualisation branch. Applications for both open on 14 June.
Our diverse range of speakers at the Data Science Community of Interest shared what they think makes a good data science project.
I’ve been passionate about presenting data clearly for over 10 years now, and recently took the lead of a cross-government group of “Presentation Champions”. We share best practice for designing...
...free-text information – the main objective of my project. I now have the confidence to develop this further, beyond the programme. I’d advise new mentees to do some form of...
...to stay close to. We gained some new customers too, as for the first time there was interest in users’ activity in the run -up to claiming UC. Some active...
...presented a pilot app using machine learning to assist triaging in accident and emergency. Queen’s Hospital sees over 290,000 emergency department admissions per year. The app aims to support NHS...
...diverse range of applications. In my previous role at the Government Digital Service (GDS), I formalised the process of continuous learning and innovation by encouraging people to spend up to...
...Statistics (ONS) and applied to the Accelerator as I was interested in programming and data analysis. The Accelerator was an intense, but ultimately amazing experience, and it allowed me to...
Mixing methods is an approach to research which combines quantitative and qualitative data. Haur and Louise describe how they have used this approach working in the EU Exit Citizen Readiness team at GOV.UK. As a performance analyst, I (Haur) predominantly …
...from across the public sector (including local and central government). On the Accelerator Joining the Accelerator meant I would have one day a week, over 3 months, as protected time...
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