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Certificate Programme in Data-driven Mobility Solutions
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CourseDetails
- Introduction to Data-driven Mobility Solutions
- Data Acquisition and Preprocessing for Transportation
- Advanced Analytics for Mobility Systems (including Machine Learning)
- Data Visualization and Communication for Mobility Insights
- Smart City Transportation and Data Management
- Case Studies in Data-driven Mobility
- Transportation Modeling and Simulation
- Predictive Maintenance and Optimization in Transportation
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Career Role Description Data Scientist (Mobility) Develops and implements advanced analytical models for optimizing transportation systems, leveraging data-driven insights to improve efficiency and user experience.
Transport Data Analyst Analyzes large datasets related to transportation, identifying trends and patterns to inform strategic decision-making in areas like traffic management and urban planning.
Focuses on mobility solutions .
AI/ML Engineer (Autonomous Vehicles) Designs and develops algorithms for autonomous vehicles, using machine learning and AI techniques to enable self-driving capabilities and enhance road safety.
Requires strong data science skills.
Geospatial Data Specialist Manages and analyzes geospatial data to create maps and visualizations supporting mobility -related projects, contributing to location-based services and improved navigation.
Smart City Data Architect Designs and implements data infrastructure for smart city initiatives, enabling the collection, processing, and analysis of data for optimizing data-driven urban mobility solutions.
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- NotAccreditedRecognized
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- ThreeFourHoursPerWeek
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- TwoThreeHoursPerWeek
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