Develop skills in designing logical frameworks, mobile data collection (KoboToolbox), community accountability, and evaluation systems.
Evidence-based decision making relies on strong Monitoring, Evaluation, Accountability, and Learning (MEAL) systems. This course on Introduction to Data Visualization for MEARL guides you through designing logical frameworks, setting up mobile data collection surveys using KoboToolbox/ODK, establishing community feedback loops (CFRMs), and conducting rigorous evaluations.
This course is designed for field coordinators, project officers, NGO managers, monitoring experts, and students seeking to build a professional career in the global humanitarian and international development sectors.
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Basic understanding of humanitarian assistance and program cycles.
Commitment to ethical conduct and safeguarding principles.
Access to a computer/tablet to review online materials and PDF guides.
Gain a comprehensive understanding of Introduction to Data Visualization for MEARL in the humanitarian sector.
Learn to apply international standards (Sphere, CHS) and guidelines to Introduction to Data Visualization for MEARL projects.
Acquire practical tools and templates for field-level implementation and monitoring.
Understand risk management, compliance issues, and how to design reporting channels.
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111 Courses
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