Global Certificate in Public Policy Learning Analytics

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The Global Certificate in Public Policy Learning Analytics is a comprehensive course designed to meet the growing industry demand for data-driven decision-making in public policy. This course equips learners with essential skills to collect, analyze, and interpret data to inform policy decisions, enhancing their career advancement opportunities.

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With a focus on practical application, the course covers essential topics such as data visualization, predictive modeling, and statistical analysis. Learners will gain hands-on experience with industry-standard tools and techniques, preparing them to excel in a variety of public policy roles. In today's data-driven world, the ability to use data to inform policy decisions is increasingly valuable. By completing this course, learners will demonstrate their expertise in this area, making them highly attractive to potential employers and setting them up for long-term success in the field of public policy.

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โ€ข Public Policy Analysis: Understanding the policy cycle, policy analysis frameworks, and tools for evidence-based decision making.
โ€ข Data Management for Public Policy: Data collection methods, data cleaning, data storage, and data access in the public policy context.
โ€ข Data Visualization: Techniques for presenting data to inform and influence public policy, including charts, graphs, and dashboards.
โ€ข Predictive Analytics: Predictive modeling, machine learning, and artificial intelligence for public policy, including applications in forecasting and risk assessment.
โ€ข Ethics in Public Policy Analytics: Addressing ethical considerations in the use of data and analytics for public policy, including issues related to privacy, bias, and transparency.
โ€ข Policy Communication: Communicating data-driven insights effectively to diverse audiences, including policymakers, stakeholders, and the public.
โ€ข Policy Impact Evaluation: Evaluating the impact of public policies using experimental and quasi-experimental methods, including randomized controlled trials and regression discontinuity designs.
โ€ข Open Data and Transparency: Open data policies, transparency, and accountability in public policy, including the use of data portals and data standards.

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็คบไพ‹่ฏไนฆ่ƒŒๆ™ฏ
GLOBAL CERTIFICATE IN PUBLIC POLICY LEARNING ANALYTICS
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London College of Foreign Trade (LCFT)
ๆŽˆไบˆๆ—ฅๆœŸ
05 May 2025
ๅŒบๅ—้“พID๏ผš s-1-a-2-m-3-p-4-l-5-e
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