Certificate in Data-Driven Urban Policy Development

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The Certificate in Data-Driven Urban Policy Development is a comprehensive course designed to empower learners with the essential skills to develop data-driven urban policies. This course highlights the importance of data-analytics in decision-making for urban development, addressing the growing industry demand for professionals who can leverage data to drive policy creation.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

Throughout the course, learners will gain hands-on experience with various data analysis tools and techniques, enabling them to extract valuable insights from complex urban data sets. They will also learn how to use these insights to inform policy development, advocacy, and implementation, thereby promoting sustainable and equitable urban growth. By completing this course, learners will be well-equipped to pursue careers in urban planning, public policy, data analysis, and related fields. They will have a deep understanding of the policy development process, as well as the data analytics skills necessary to drive evidence-based decision-making in today's data-driven world.

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๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ


โ€ข Data Analysis for Urban Policy
โ€ข Urban Data Collection and Management
โ€ข Statistics for Data-Driven Urban Policy
โ€ข Geographic Information Systems (GIS) for Urban Policy
โ€ข Data Visualization and Communication for Urban Decision Makers
โ€ข Machine Learning and Predictive Analytics in Urban Policy
โ€ข Urban Big Data and Privacy Considerations
โ€ข Evidence-Based Policy Making: From Data to Action
โ€ข Performance Metrics and Evaluation for Data-Driven Urban Policy
โ€ข Ethics and Bias in Data-Driven Urban Policy Development

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์™œ ์‚ฌ๋žŒ๋“ค์ด ๊ฒฝ๋ ฅ์„ ์œ„ํ•ด ์šฐ๋ฆฌ๋ฅผ ์„ ํƒํ•˜๋Š”๊ฐ€

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์ด ๊ณผ์ •์˜ ๋น„์šฉ์„ ์ง€๋ถˆํ•˜๊ธฐ ์œ„ํ•ด ํšŒ์‚ฌ๋ฅผ ์œ„ํ•œ ์ฒญ๊ตฌ์„œ๋ฅผ ์š”์ฒญํ•˜์„ธ์š”.

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์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CERTIFICATE IN DATA-DRIVEN URBAN POLICY DEVELOPMENT
์—๊ฒŒ ์ˆ˜์—ฌ๋จ
ํ•™์Šต์ž ์ด๋ฆ„
์—์„œ ํ”„๋กœ๊ทธ๋žจ์„ ์™„๋ฃŒํ•œ ์‚ฌ๋žŒ
London College of Foreign Trade (LCFT)
์ˆ˜์—ฌ์ผ
05 May 2025
๋ธ”๋ก์ฒด์ธ ID: s-1-a-2-m-3-p-4-l-5-e
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