Data Science Computing

Catalog description

Programming and computing techniques for the requirements of data science: acquisition and organization of data; visualization, modeling, and inference for scientific applications; presentation and interactive communication of results. Emphasis on computing for substantial projects. Software development with an emphasis on R, plus other key software tools.