Global Certificate in Urban Traffic Data Analytics

Name: Global Certificate in Urban Traffic Data Analytics
Price: 149 GBP
Availability: InStock

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The 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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AboutThisCourse

Learners will gain essential skills in data collection, analysis, and visualization, using real-world case studies and industry-standard tools. By completing this course, learners will be equipped with the skills necessary to advance their careers in traffic engineering, urban planning, transportation consulting, and other related fields. With the increasing focus on smart cities and intelligent transportation systems, this course provides learners with a competitive edge in the job market, enabling them to make informed, data-driven decisions that improve the quality of life in urban areas.

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CourseDetails

• 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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