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SCM.254 Analytical Methods for Supply Chain Management II
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Graduate (IAP)
Prereq: SCM.250, SCM.500, or permission of instructor
Units: 2-0-1
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Introduces tools needed to analyze data to solve supply chain and logistics problems. Topics include principal component analysis and clustering, regression and prediction for continuous and discrete variables, experimental design and causal inference, and geospatial visualization and analysis. Instruction provided in Python programming in the context of data analysis applications for supply chain management. Restricted to SCM students.
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