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La Ciencia de Datos es una revolucion que ya esta cambiando la manera en la que nos ocupamos de negocios, sanidad, politica, educacion e innovacion. Hay una gran variedad de cursos online, masteres, grados, y asignaturas que se enfocan a la ensenanza de este campo interdisciplinar, donde existe una demanda creciente de profesionales. Este articulo describe tres modelos de ensenanza y aprendizaje diferentes para Ciencia de Datos, inspirados en el paradigma del aprendizaje experiencial. Ademas, estos modelos han sido empleados en una asignatura de Deep Learning, dentro del contexto de un master internacional de Ciencia de Datos. Finalmente, la satisfaccion de los estudiantes es cuantificada por medio de una encuesta para: evaluar los tres modelos, decidir el enfoque favorito y considerar una metodologia de aprendizaje experiencial pura.---ABSTRACT---Data science is a revolution that is already changing the way we do business, healthcare, politics, education and innovation. There is a great variety of online courses, masters, degrees, and modules that address the teaching of this interdisciplinary field, where is a growing demand of professionals. This paper describes three different teaching and learning models for Data Science inspired by the experiential learning paradigm.Moreover, these models have been employed in a Deep Learning course in the context of an international master of data science. Finally, thestudent satisfaction is quantified by a survey to: evaluate the three models, decide their favorite approach, and consider a pure experiential learning methodology.

Aprendizaje experiencial en ciencia de datos: satisfacción de los estudiantes para tres modelos de enseñanza y aprendizaje - [Experiential learning in data science: student satisfaction for three models of teaching and learning]