Data Science

Catalog description

Study of statistical, computational and software engineering concepts used to obtain knowledge from a data set. Emphasis on data manipulation procedures typical of data science: data extraction, data purification, data processing through statistical methods, test design and data visualization. Application of the skills learned for data manipulation using tools available for data science. It requires 45 hours of conference and 30 hours of closed laboratory.