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dc.creatorSilva, Jesus
dc.creatorPortillo, Rafael
dc.creatorHernandez, Ana Emilia
dc.creatorVarela, Noel
dc.creatorMartinez Caraballo, Hugo
dc.creatorHernández Palma, Hugo Gaspar
dc.creatorRedondo Bilbao, Osman
dc.creatorLeon Castro, Nadia
dc.date.accessioned2020-04-15T19:25:33Z
dc.date.available2020-04-15T19:25:33Z
dc.date.issued2020-03-05
dc.identifier.urihttps://hdl.handle.net/11323/6195
dc.description.abstractData Science (DS) is an interdisciplinary field responsible for extracting knowledge from the data. This discipline is particularly complex in the face of Big Data: large volumes of data make it difficult to store, process and analyze with standard computer science technologies. The new revolution in Data Science is already changing the way we do business, healthcare, politics, education and innovation. This article describes three different teaching and learning models for Data Science, inspired by the experiential learning paradigm.es_ES
dc.language.isoenges_ES
dc.publisherUniversidad de la Costaes_ES
dc.rightsCC0 1.0 Universal*
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.subjectData sciencees_ES
dc.subjectDeep learninges_ES
dc.subjectExperiential learninges_ES
dc.subjectGamificationes_ES
dc.titleData sciences and teaching methods—learninges_ES
dc.typePreprintes_ES
dc.type.hasVersioninfo:eu-repo/semantics/draftes_ES
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesses_ES


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CC0 1.0 Universal
Except where otherwise noted, this item's license is described as CC0 1.0 Universal