The main aim of the programme is to work with researchers from all disciplines across the Turing's university partner network, and with national research facilities, to make effective use of state of the art methods in artificial intelligence and data science.
DurationThe main aim of the programme is to work with researchers from all disciplines across the Turing's university partner network, and with national research facilities, to make effective use of state of the art methods in artificial intelligence and data science.
The social sciences and arts provide particularly interesting challenges within the programme. Our understanding is often qualitative, and aligning this with what data sets are telling us can be difficult. There is also a considerable need to provide relevant training in these new methodologies, in a way that is acceptable and meaningful to researchers from non-numerate disciplines.
It is envisaged that, within a very few years, research across universities and national facilities will more and more come to be based on the computational data science and AI methods being developed at The Alan Turing Institute and its partners. It is therefore a key challenge that the programme's research remains at the vanguard of this movement nationally.
We believe data science and artificial intelligence will change the world. We are pioneers; training the next generation of leaders, shaping the public conversation, and pushing the boundaries of these sciences for the public good.
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This Data Science workshop has been designed for professionals (beginners) from all backgrounds with the skills and tools needed to kick-start their tech career, join a data science team, or launch their start-up. Data scientists are changing the way big data is used in different institutions.
Learn to analyse and publish data from a variety of sources using this powerful software. Create boards, visualisation and dashboards that can then be published.
Data science is the study of extracting meaningful insights from data. It is a forward-looking approach with the focus on analysing the past or current data and predicting the future outcomes with the aim of making informed decisions.
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