Enhance your data skills: Big Data Test Infrastructure (BDTI) Skills Studio workshops

The BDTI Skills Studio is a place to learn essential data skills for free. Launched in September, it will continue with a series of engaging workshops throughout October and November. Workshops are organised to equip public administrations and proactive citizens with essential data analytics skills. Moreover, participants can uncover valuable insights, enhance public services by understanding how to utilise open data, and support a better future for citizens at the local, regional, and national level. 

A successful series of three workshops in September have taken place already, which you can rewatch: 

• ‘An introduction to geospatial analytics’ taught techniques, and participants learnt about visualising spatial data. 
• ‘An introduction to statistics’ touched upon topics like probability, distributions, and more statistical analysis skills. 
• ‘An introduction to graph analytics’ teaches you how to uncover patterns and insights by applying graph analytics.  

In October and November, the workshops continue. The first one ‘Dashboard for data visualisation: Analysing and presenting traffic accident insight’ has just taken place; it is however still possible to register for the following upcoming sessions: 

• 16 October: ‘Communicating complex datasets: Integrating real-time data for urban insight’   
  Learn how to turn complex datasets into clear, actionable insights. In this session, real-time traffic and air quality data are combined to monitor and improve urban environments. 
• 6 November: ‘Harnessing climate data: Classification and predictive analytics for tourism’   
  Unlock the power of data classification and predictive analytics to forecast tourism conditions. Machine learning techniques using historical weather data to predict Tourism Climate Index classifications are explored. 
• 20 November: ‘Predictive modelling and real-time analysis: Real-time forecasting and monitoring of bicycle use’   
  Get hands-on experience with predictive modelling by forecasting bicycle traffic in Paris. Learn how to analyse historical data and compare predictions with real-time data for dynamic insights. 

The workshops show you how you can use open data, like the datasets of data.europa.eu, for analysis. So, if you are interested in enhancing your data skills, be sure to register for these freely accessible workshops!  

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