Shipping Data Analytics

Course Overview

A practical, maritime‑focused course that teaches learners how to use data to optimise shipping operations, fleet performance, route planning, fuel efficiency, and logistics coordination. The course covers vessel tracking data, AIS analytics, voyage optimisation, fuel and emissions monitoring, cargo movement insights, risk assessment, and predictive modelling across global shipping and maritime logistics networks.

Target Audience

• Shipping operations, fleet management, and marine logistics teams

• Maritime planners, chartering teams, and voyage management professionals

• Data analysts, BI developers, and operations research teams in logistics

• Freight forwarders, supply chain professionals, and port‑shipping coordinators

• Students or professionals entering shipping, maritime logistics, or analytics roles

Course Outcomes

• Understand shipping data sources (AIS, voyage logs, fuel data, cargo data) and performance metrics

• Analyse vessel movements, route patterns, port calls, and voyage efficiency

• Evaluate fuel consumption, emissions, weather impact, and operational cost drivers

• Apply predictive analytics for ETA forecasting, congestion, delays, and risk assessment

• Use data to optimise routing, scheduling, fleet utilisation, and cargo planning

• Build dashboards for fleet performance, voyage insights, and operational monitoring

• Identify inefficiencies, risks, and optimisation opportunities across shipping workflows

• Communicate maritime insights clearly to operations, logistics, and leadership teams