Data sciences and teaching methods—learning

Data 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.

• Autores: Silva, Jesus; Portillo, Rafael; Hernandez, Ana Emilia; Varela, Noel; Martinez Caraballo, Hugo; Hernández Palma, Hugo Gaspar; Redondo Bilbao, Osman; Leon Castro, Nadia
• Tipo de recurso: http://purl.org/coar/resource_type/c_816b
• Fecha de publicación: 2020
• Institución: Corporación Universidad de la Costa
• Repositorio: REDICUC - Repositorio CUC
• Idioma: eng
• OAI Identifier: oai:repositorio.cuc.edu.co:11323/6195
• Acceso en línea: https://hdl.handle.net/11323/6195; https://repositorio.cuc.edu.co/
• Palabra clave: Data science; Deep learning; Experiential learning; Gamification
• Rights: openAccess
• License: CC0 1.0 Universal