One of the questions the data science team at the Government Digital Service (GDS) often gets asked is ‘how does your team work on data science projects?’ We thought we’d blog about how we have evolved our approach to data …
Apply to the Data Science Accelerator programme by 15 October, and you could begin developing your data science skills before the end of 2018.
There’s not much time left to apply for the Data Science Accelerator programme if you’re interested in developing your data science skills. Take a look at some of the successful projects our previous graduates have worked on.
The Data Science Accelerator programme is open again for applications until 12 June. Don’t miss out.
At GDS we believe that making things open makes things better, which is why I recently participated in an open peer review of open code written by Public Health England for analysing their open data.
The Data Science Accelerator, now in its third year, is a capability-building programme which gives analysts from across the public sector the opportunity to develop their data science skills by delivering a project of real business value. The Accelerator runs …
In March, we blogged about our work with analysts across government to transform the way we produce official statistics. We borrowed ideas from software development and academia to demonstrate what this might look like. We called the project ‘RAP’, which stands for Reproducible Analytical Pipelines.
The Data Science Accelerator - now in its third year - is a capability-building programme which gives analysts from across the public sector the opportunity to develop their data science skills by delivering a project of real business value. The …
The Better Use of Data (BUOD) team at GDS helps government departments apply data science techniques to policy and operational problems. Most technical work is done at GDS, but sometimes we embed people in teams across departments - including a …
Producing official statistics for publications is a key function of many teams across government. It’s a time consuming and meticulous process to ensure that statistics are accurate and timely. With open source software becoming more widely used, there’s now a …
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