Access to data is exponentially increasing while the human capacity to manage and understand it remains constant. Communicating clearly and effectively on the models we find in the data is a key skill for a successful data scientist. This course introduces the basic concepts of visualization, analysis and visual representation of data. These concepts are necessary to create suitable applications and tools that allow the student to manage and analyze big data flows. It involves the design and implementation of complementary visual and verbal representations of patterns and analysis in order to convey results, answer questions, drive decisions, and provide convincing evidence supported by data.

Temps présentiel : 20 heures

Charge de travail étudiant : 50 heures

Méthode(s) d'évaluation : Examen final