About Course
Course Overview
A practical, logistics‑focused course that teaches learners how to use data to optimise port operations, vessel scheduling, cargo handling, yard management, and overall terminal efficiency. The course covers port performance metrics, berth and crane productivity, container flow analytics, turnaround‑time optimisation, predictive modelling for congestion, and data‑driven decision‑making across marine, yard, gate, and hinterland operations.
Target Audience
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Port operations, terminal management, and marine logistics teams
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Supply chain, shipping, and freight professionals
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Data analysts, BI developers, and operations research teams in logistics
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Maritime planners, yard supervisors, and equipment‑allocation teams
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Students or professionals entering port management, logistics, or analytics roles
Course Outcomes
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Understand port operations workflows, KPIs, and performance frameworks
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Analyse vessel schedules, berth allocation, crane productivity, and cargo flow
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Evaluate yard utilisation, container dwell time, and equipment deployment
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Apply predictive analytics for congestion, demand forecasting, and turnaround optimisation
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Use data to improve gate operations, truck flow, and hinterland connectivity
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Build dashboards for marine, yard, and terminal performance monitoring
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Identify bottlenecks, inefficiencies, and operational risks across port processes
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Communicate operational insights clearly to marine, yard, logistics, and leadership teams
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