Programming for Data Science

Catalog description

Transition from basic to more advanced programming skills, focusing on using computational tools to solve data science problems. Gain familiarity with higher-level programming techniques (recursion, abstract data types, algorithm analysis), methods for exploring parameter space, and the automation of workflows. A discipline-specific computer language is used for instruction. Course overlaps with: CSS 133; CSS 143; CSE 143; T INFO 473; and TCSS 143. Prerequisite: a minimum grade of 2.0 in either CSS 112, CSS 132, CSS 142, CSE 122, or CSE 142.