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The European Data Science Academy (EDSA) designs curricula for data science training and data science education across the European Union (EU). EDSA establishes a virtuous learning production cycle whereby we: a) analyse the required sector specific skillsets for data scientists across the main industrial sectors in Europe; b) develop modular and adaptable data science curricula to meet industry expectations; and c) deliver data science training supported by multi-platform and multilingual learning resources. The curricula and learning resources are continuously evaluated by pedagogical and data science experts during both development and deployment.

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Latest News

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New EDSA courses published

Two new self-study courses have been published by EDSA: Distributed Artificial Intelligence and Intelligent Agents Peer-to-Peer, Cloud Computing and Big Data The courses have been produced by EDSA partner KTH. The first course provides knowledge about basic methods and techniques of Distributed AI and agent technology to be applied to data intensive systems. The second one focuses...

Deep Learning Summer Camp

Summer Camp in Deep Learning, London

A new summer camp has been developed as part of the EDSA programme, highlighting the most important aspects of deep learning for data science projects. Ali Syed, founder and chief data scientist at...

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EDSA organises the 6th ESWC Summer School

The 6th ESWC Summer School will run in Dubrovnik, Croatia from the morning of Monday, September 5th to midday Saturday, September 10th 2016. The overall goal for this event is to provide...


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