The Data Collection and Management Course equips learners with the skills to systematically gather, organize, and manage data for research, business, and professional projects. Participants will learn methods for designing surveys, interviews, and experiments, as well as techniques for data cleaning, validation, and storage. The course emphasizes practical, hands-on experience with real-world datasets and introduces tools and best practices to ensure accurate, reliable, and well-structured data for analysis and decision-making.
By the end of this course, learners will be able to:
1. Understand different types of data and data collection methods.
2. Design questionnaires, interview guides, and observation checklists.
3. Apply appropriate sampling techniques for various research contexts.
4. Build and deploy digital data collection forms using modern tools.
5. Manage field teams, ensure ethical practices, and maintain data quality.
6. Clean, organize, and manage datasets using Excel/Google Sheets.
7. Conduct basic quantitative and qualitative data analysis.
8. Present findings through reports, charts, and dashboards.
This course is ideal for:
Learners should have:
Basic computer skills (typing, navigating a browser)
Access to a laptop or desktop computer
Internet connection for using online tools
No prior experience in data collection is required
(Optional) Basic Excel knowledge is helpful but not mandatory
The objective of this course is to provide participants with adequate knowledge and skills in collection and management of data. It draws information on ways of developing efficient means to gather relevant data, approach to acquire accurate data, and contemporary approaches to categorize, archive and administer datasets. Participants will also learn how data management software should be used as well as how data should be managed properly.

The objective of this course is to provide participants with adequate knowledge and skills in collection and management of data. It draws information on ways of developing efficient means to gather relevant data, approach to acquire accurate data, and contemporary approaches to categorize, archive and administer datasets. Participants will also learn how data management software should be used as well as how data should be managed properly.