The European Data Science Academy is designing curricula for data science training and education across the European Union. We have created a core data science curriculum of 15 topics that cover all stages of the data science pipeline, and we are producing courses and resources to assist learners with gaining new skills for the age of data. Critically, we base our curricula on a thorough analysis of demand across Europe for data science skills, assessing what is driving the data science revolution and what competencies the next generation of data scientists will require. This talk will present an overview of the project’s progress to date, detailing some of the key insights we’ve gained around the demand for data skills, the need for sector- and domain-specific offerings, and the essential requirements of a data science curricula that can ensure Europe leads in this area as we move to an increasingly digital world.
Elena Simperl

Dr. Elena Simperl is Associate Professor in the Web Science and Internet Group at the University of Southampton. Her research interestsinclude social computing, knowledge driven technologies, and open data. She has contributed and led over 15 national and European research projects and authored more than 75 scientific publications, and chaired the European Semantic Web Conference (ESWC) in 2011 and 2012 and the European Data Forum (EDF) in 2013. Elena leads the Open Data Incubator for Europe (ODINE), which helps businesses using open data She is vice-president of STI International, director of the ESWC summer school, the Asian Semantic Web School, and the IEEE Summer School on Semantic Computing, and technical director of the European Data Science Academy. She is the founder of semsphere GmbH, a professional training company in the area of semantic technologies, andco-editor-in-chief of the newly launched Journal of Human Computation.
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