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Overview

Mathematics & Statistics (Sci) : The holistic skills required for doing statistical data science in practice. Data science life cycle from a statistics-centric perspective and from the perspective of a statistician working in the larger data science environment. Group-based projects with industry, government, or university partners. Statistical collaboration and consulting conducted in coordination with the Data Science Solutions Hub (DaS^2H) of the Computational and Data Systems Initiative (CDSI).

Terms: Fall 2023

Instructors: Correa, Jose Andres; Kolaczyk, Eric (Fall)

• Prerequisites: MATH 324; MATH 223 ; MATH 208

• Corequisites: MATH 423

• No credit will be given for this course unless both MATH 527D1 and MATH527D2 are successfully completed in consecutive terms.