Certificate in Humanitarian Data Collection
-- ViewingNowThe Certificate in Humanitarian Data Collection is a crucial course designed to equip learners with essential skills in data collection for humanitarian efforts. In today's digital age, the demand for data-driven decision-making in the humanitarian sector is at an all-time high.
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⢠Data Collection Methods: An introduction to various data collection methods used in humanitarian contexts, including surveys, interviews, focus group discussions, and remote sensing technologies.
⢠Data Collection Tools: Exploring tools and platforms for data collection, such as ODK, KoboToolbox, SurveyCTO, and Google Forms. Includes hands-on exercises to familiarize students with these tools.
⢠Data Quality Assurance: Best practices for ensuring data quality, such as data validation rules, data cleaning techniques, and data quality assessment methods.
⢠Data Privacy and Security: Understanding the importance of data privacy and security in humanitarian settings, including data protection principles, ethical considerations, and secure data transmission methods.
⢠Data Management and Analysis: An overview of data management and analysis techniques, including data cleaning, data visualization, and basic statistical analysis using tools such as Excel and R.
⢠Geographic Information Systems (GIS) for Humanitarian Data Collection: Introduction to GIS and its applications in humanitarian data collection, including spatial data collection, analysis, and visualization using tools such as QGIS and ArcGIS.
⢠Mobile Data Collection: Practical training on mobile data collection using smartphones and tablets, including offline data collection and real-time data transmission.
⢠Data Collection in Emergency Settings: Strategies and best practices for data collection in emergency settings, such as natural disasters and conflict zones, including rapid needs assessments and multi-sectoral assessments.
⢠Data Collection for Vulnerable Populations: Sensitivity training for data collection with vulnerable populations, such as children, women, and displaced persons, including ethical considerations and data protection principles.
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