About Course
Course Overview
A practical, trade‑focused course that teaches learners how to analyse global maritime trade flows, shipping routes, commodity movements, port connectivity, and market dynamics using data. The course covers AIS‑based trade mapping, vessel‑type and commodity‑level analytics, freight rate modelling, supply–demand forecasting, congestion and bottleneck analysis, and data‑driven insights for shipping, logistics, and international trade decision‑making.
Target Audience
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Maritime trade, shipping, and global logistics professionals
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Port authorities, freight forwarders, and supply chain planners
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Commodity traders, chartering teams, and market analysts
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Data analysts, BI developers, and operations research teams in maritime sectors
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Students or professionals entering maritime trade, shipping economics, or analytics
Course Outcomes
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Understand global maritime trade flows, vessel classes, and commodity movement patterns
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Analyse AIS data to map routes, port calls, congestion, and trade corridors
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Evaluate freight rates, market indices, and supply–demand dynamics
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Apply predictive analytics for ETA forecasting, trade volume prediction, and risk assessment
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Use data to assess port connectivity, hinterland linkages, and trade bottlenecks
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Build dashboards for trade flows, vessel movements, and market performance
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Identify inefficiencies, risks, and emerging trends in maritime trade networks
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Communicate trade insights clearly to shipping, logistics, and leadership teams
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