Certified Specialist Programme in Data-driven Urban Mobility Solutions
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CourseDetails
- Data-Driven Urban Mobility Solutions: An Introduction
- Advanced Analytics for Transportation Planning
- Smart City Infrastructure and Data Acquisition (IoT, Sensors)
- Machine Learning for Traffic Prediction and Optimization
- Urban Mobility Modelling and Simulation
- Data Visualization and Communication for Urban Mobility
- Case Studies in Data-Driven Urban Transportation Projects
- Policy and Governance for Smart Mobility
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Career Role Description Data Scientist (Urban Mobility) Develops and implements advanced analytical models to optimize urban transportation systems, leveraging big data and machine learning for traffic flow prediction and resource allocation.
Focus on data-driven solutions for smart cities.
Transportation Planner (Data Analytics Focus) Applies data analysis techniques to inform strategic transportation planning decisions, enhancing efficiency and sustainability in urban mobility.
Expertise in urban mobility solutions and data visualization.
Software Engineer (Smart Mobility) Designs, develops, and maintains software applications for intelligent transportation systems, integrating data analytics and machine learning for real-time traffic management and user experience optimization.
Strong skills in data-driven development.
Data Analyst (Transportation Systems) Collects, cleans, and analyzes large datasets related to urban transportation, providing insights for improved operational efficiency and strategic decision-making.
Specialization in urban mobility data analysis.
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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