Global Certificate in Spatial Data Science & Urban Planning
-- ViewingNowThe Global Certificate in Spatial Data Science & Urban Planning is a comprehensive course designed to equip learners with essential skills for career advancement in urban planning and data analysis. This program bridges the gap between urban planning theory and data-driven decision making, emphasizing the importance of spatial data science in modern urban development.
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⢠Fundamentals of Spatial Data Science: Introduction to spatial data, data types, and structures. Understanding spatial data acquisition, processing, and analysis.
⢠Geographic Information Systems (GIS): Basics of GIS, Cartography, and Geospatial data analysis. Spatial data modeling, data manipulation, and visualization.
⢠Remote Sensing and Earth Observation: Fundamentals of Remote Sensing, sensor types, and data acquisition. Image processing, analysis, and interpretation.
⢠Spatial Data Analysis and Statistics: Spatial data analysis techniques, statistical methods, and spatial data mining. Spatial data exploration, clustering, and prediction.
⢠Urban Planning and Spatial Data Science: Introduction to Urban Planning, spatial planning, and land use planning. Integrating Spatial Data Science in Urban Planning.
⢠Spatial Data Infrastructure (SDI): Basics of SDI, data sharing, and dissemination. Open geospatial data, metadata, and web services.
⢠Transportation Planning and GIS: Transportation planning, network analysis, and spatial interaction. Transportation modeling, simulation, and optimization.
⢠Smart Cities and IoT: Introduction to Smart Cities, Internet of Things (IoT), and spatial big data. Real-time data acquisition, processing, and analysis.
⢠Urban Analytics and Data Visualization: Urban data analytics, data visualization, and storytelling. Exploratory data analysis, data-driven decision making, and communication.
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