SCM.254
Analytical Methods for Supply Chain Management II
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.
Prerequisites & course information
Prereq: SCM.250 , SCM.500 , or permission of instructor G (IAP) 2-0-1 units
Sources
- Course catalogue ↗2026–2027