Accelerating public sector data science and visualisation
The Data Science Accelerator mentoring programme is expanding to offer a new data visualisation branch. Applications for both open on 14 June.
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.
DWP statistician Catherine Hope leads the cross-government ‘Presentation Champions’ who share best practice for designing the best ways to present government data. In this blog she shares some tips on the best ways to make your information understandable.
The first 2021 cohort of the Data Science Accelerator programme launches on 18 January. Read three testimonials from recent programme graduates about their experiences.
Gemma Elsworth, Head of Digital Performance Analytics at DWP, looks back on the challenges and achievements of her first 6 months in the role.
We recently held our first completely remote Data Science Community of Interest event. Hillary and James talk in this post about the event and recap some of the presentations
Data science is a complex, rapidly changing discipline and has an increasingly diverse range of applications. read how Nicky formalised the process of continuous learning and innovation by encouraging people to spend up to 20% of their time exploring new and innovative data science tools and techniques
Applications for the Data Science Accelerator are now open and close on 3 June 2019.
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 …
HMRC's Bharath Vadhoola shares how the programme has helped him get a coveted job as a principal data scientist. Find out how you can get on the programme and boost your career prospects.