Global Certificate in Urban Traffic Data Analytics
-- viewing nowThe Global Certificate in Urban Traffic Data Analytics is a comprehensive course designed to meet the growing industry demand for experts who can analyze urban traffic data and develop data-driven solutions. This course emphasizes the importance of utilizing data analytics in addressing urban traffic challenges, improving traffic flow, and reducing congestion.
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Course Details
• Introduction to Urban Traffic Data Analytics: Basics of data analytics, importance of traffic data, types of urban traffic data.
• Data Collection Methods: Manual data collection, automatic data collection, primary and secondary data sources.
• Data Cleaning and Pre-processing: Handling missing data, outlier detection, data normalization, and feature scaling.
• Data Analysis Techniques: Descriptive statistics, inferential statistics, statistical significance, correlation, and regression analysis.
• Data Visualization Tools: Data visualization techniques, chart and graph creation, mapping and spatial analysis.
• Machine Learning Algorithms: Supervised learning, unsupervised learning, reinforcement learning, and deep learning.
• Traffic Flow Modeling: Fundamentals of traffic flow, traffic stream parameters, and traffic flow models.
• Transportation Network Analysis: Network analysis principles, traffic assignment, and network optimization.
• Intelligent Transportation Systems: ITS technologies, traffic management, and transportation infrastructure.
• Policy and Planning: Transportation policy, planning, and decision-making, ethical considerations in urban traffic data analytics.
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