Kurs Urban Data Science

Dr. Shaily Gandhi

In an era of rapid urbanization, cities are becoming increasingly complex, requiring innovative, data-driven approaches to planning, sustainability, and public services. This advanced course, Urban Data Science: Methods and Applications, equips participants with the theoretical foundation and practical skills to analyze, visualize, and optimize urban systems using cutting-edge data science techniques.

Throughout this five-day intensive program, participants will explore key topics such as urban data collection and management, geospatial analytics, mobility analysis, sustainability, and predictive modeling. The curriculum integrates hands-on experience with real-world urban datasets, GIS and remote sensing technologies, machine learning applications, and ethical considerations in data use.

By the end of the course, participants will be able to:

• Understand the fundamentals of urban data science and its role in smart city planning.
• Analyze urban mobility, transportation efficiency, and crowd-sourced data.
• Apply remote sensing and GIS techniques for geospatial analysis and urban mapping.
• Utilize predictive analytics and AI to model urban growth and public health trends.
• Develop interactive dashboards and visualizations for decision-making.
• Address ethical challenges, data privacy concerns, and policy implications in urban data applications.

This course is designed for urban planners, data scientists, policy makers, and researchers seeking to leverage data science for sustainable and intelligent urban development.