Global Certificate in Data for International Development Cooperation
-- ViewingNowThe Global Certificate in Data for International Development Cooperation is a comprehensive course designed to equip learners with essential data skills necessary in today's development sector. This program emphasizes the importance of data-driven decision-making and evidence-based policy-making in international development cooperation.
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⢠Data Collection Techniques: An overview of different data collection methods, including surveys, interviews, and focus groups, with a focus on best practices for international development cooperation.
⢠Data Analysis for Development: An introduction to data analysis techniques and tools, including data cleaning, visualization, and statistical analysis, to support evidence-based decision-making in international development.
⢠Data Privacy and Ethics: An examination of the ethical considerations surrounding data collection, storage, and sharing, including data privacy laws and regulations, and ethical guidelines for data use in international development.
⢠Geographic Information Systems (GIS) for Development: An overview of GIS technologies and applications, including mapping, spatial data analysis, and remote sensing, to support decision-making in international development.
⢠Monitoring and Evaluation (M&E) Frameworks: An introduction to M&E frameworks and their role in tracking progress towards development goals, including the development of M&E plans, data collection and analysis, and reporting.
⢠Data Visualization for Decision-Making: An exploration of best practices for data visualization, including data storytelling, visual design principles, and the use of data visualization tools, to support evidence-based decision-making in international development.
⢠Open Data and Data Sharing: An examination of open data principles and best practices, including data sharing platforms, legal and ethical considerations, and the role of open data in promoting transparency and accountability in international development.
⢠Data-Driven Advocacy: An exploration of the use of data in advocacy efforts, including data storytelling, data-driven campaigns, and the use of data visualization to influence policy and promote social change.
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