Foundation of Data Science

Catalog description

This course offers students a practical, hands-on introduction to the growing field of "Data Science," and will equip them with the fundamental quantitative and computational analytics used to derive meaningful insight from large, real-world data. The focus of the course is problem-based and brings together skills across statistics, data mining and machine learning alongside effective visualization and communication. The course will equip students to solve data-driven problems from diverse domain applications, and with real-world data. Students are assumed to have an understanding of basic statistics and have experience in programming. | Prerequisite: Graduate Standing.