University of Alabama
Transportation Data Science introduces students to the processing, analysis, and interpretation of large-scale transportation-related data. The course develops programming proficiency in Python and provides an overview of key algorithms and machine learning methods used in transportation research and practice. Students apply data-driven techniques to real transportation datasets to support analysis, modeling, and decision-making.
3 credits
CE 415
Prerequisites, corequisites, and courses that build on this one
Complete these courses before enrolling
