Data Science I: Theoretical Foundations

4 credits

Introduces technically focused theoretical foundations of "Data Science." Provides an overview of key concepts, focusing on foundational concepts such as exploratory data analysis and statistical inference. Assignments are data-intensive, and require significant programming and statistical analysis. Students are expected to have college-level statistics and programming experience (R and python preferred). Prerequisite: either QMETH 201, IMT 570, or equivalent college coursework; and either CSE 121, CSE 122, CSE 123, CSE 142, or equivalent college coursework.