200

DSC 201 Applied Data Science

This course introduces and upgrades tools for data analysis and presentation. Seminal works in the field of data visualization and their implications for visual design are discussed. Data mining, algorithmic complexity, mathematical modeling, and statistical methods are explored, while ethics, visuals and data handling are elevated from the introductory course.
Credit Hours: 4

Prerequisites

CSC 102 with a C or higher, DSC 101 with a C or higher, MAT 272 with a C or higher