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Category: Data science

How reading books helps me generate impact

  • 23 August 2021

David Kingman from HM Treasury discusses how reading books on R and Python has helped him achieve more impact from his work as a data scientist.

Why and what do we need to know about data pre-processing?

  • 18 August 2021

Anran Zhao discusses the importance and challenges of good data preparation.

Working with Twitter data

  • 12 April 2021

Joseph Allen discusses how researchers can benefit from using Twitter data for research, and how to get started.

Zooming in the time of Covid-19: 2020 Big Data Summer School successfully goes virtual

  • 10 November 2020

Louise Corti shares the challenges and opportunities from this year’s successful virtual Big Data Summer School at the University of Essex.

Open Data Manchester – still learning at 10 with a little help during lockdown

  • 10 September 2020

Sam Milsom shares how Open Data Manchester has developed over ten years and during the lockdown, while Julia Kasmire from the UK Data Service shares the contribution the Service made to ODM’s Pick N Mix workshops.

UK Data Service Dissertation Award winners

  • 6 August 2020

Jen Buckley introduces the winners of the UK Data Service Dissertation Award, exploring the work the undergraduate researchers have undertaken and what they hope to do next. 

How web-scraping for Covid-19 data could inform policy

  • 16 April 2020

Diarmuid McDonnell discusses how social scientists can access real-time datasets on the Covid-19 outbreak, and how this data might be used to inform policy relating to the crisis.

Hello! My Name is… New Forms of Data!

  • 19 March 2020

Julia Kasmire has recently joined the UK Data Service to develop a training programme on New Forms of Data. But what exactly does that entail?

Brexit – some recent data and the questions they can answer

  • 17 October 2019

Anca Vlad of the UK Data Service investigates the range of data in the UK Data Service collection related to Brexit.

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