DATA SCIENCE FUNDAMENTALS

Catalog description

The aim of this course is to provide the fundamental knowledge and skills commonly required to solve data-driven problems. The course introduces computational, inferential, and cross-disciplinary approaches to analyze and visualize data. The course trains students to become well-rounded professionals who can provide quantitative analysis, gather and analyze big data, and interpret and share results in a meaningful way. Prerequisites: COMP1000 or ELEC3150 and MATH1030 or MATH2100 or MATH2825 (4 credits) fall, spring