Spring

ORCAE2500 Foundations of Data Science


Instructor: Clifford Stein

Additional Information: ORCAE2500_Syllabus_Spring_2018.pdf

Foundations of Data Science is designed to provide and introduction to data science for sophomore SEAS majors. It combines three perspectives: inferential thinking, computational thinking, and real-world applications. Given data arising from some real-world phenomenon, how does one analyze that data so as to understand that phenomenon? The course teaches critical concepts and skills in computer programming, statistical inference and machine learning, in conjunction with hands-on analysis of real-world datasets such as economic data, document collections, geographical data, and social networks. The course will also have at least one project that has addresses a problem relelvant to New York city.

Prerequisties: Calculus I and II; Some familiarity with programming




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