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.
...is our duty to make sure they can make well-informed decisions. Data presentation training If you’d like to learn more about presenting data, here are some resources that are free...
...Testimonials We caught up with 3 graduates from the latest Accelerator cohort. They spoke about why they chose the Accelerator, how the programe helped them, their experiences of being mentored...
I took over the Head of Role for Digital Performance Analytics in December 2019, having been a civil servant for 13 months. Alongside the Head of Role post, I also...
...and the public sector. Machine Learning is a method for creating algorithms that enable computers to learn from data to make predictions. Examples of machine learning techniques are; reinforcement learning,...
...GOV.UK, to building better A/B testing for analysts that resulted in a HackerNews featured blog. Several of the projects themselves and the knowledge gained were brought into 80% work straight...
...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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