The Data Science Accelerator programme is open again for applications until 12 June. Don’t miss out.
...and decision-making more transparent. Why use open source code for data analysis? To summarise many other articles on the benefits of using open source code for data analysis: Analyses and...
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...
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.
...instead focus the necessary resources onto the patients who are at most risk. For more information on the Accelerator programme please see our guidance page or email us at data-science-accelerator@digital.cabinet-office.gov.uk....
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 …
...but are particularly useful for code in text files for example R or Python code. Whilst git can be used locally on a single machine, or many networked machines, git...
...call these stopwords. Removing these words helps us focus on the more meaningful part of the text. As we explored our data we also started to compile a custom list...
...surprising: 53% of the time, manual coders disagreed about how a survey should be coded. We can see this in the chart below, which shows how often volunteer coders applied...
The fifth Accelerator programme has now finished and we have 29 graduates from 21 organisations with the skills and technical knowledge to make a real contribution to data science across the public sector. This is a significant achievement in just …
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