Training on Research Design, Mobile Data Collection, and Mapping, and Data Analysis Using NVivo and R Course

New developments in data science offer a tremendous opportunity to improve decision-making. In the development world, there has been an increase in the number of data gathering initiative such as baseline surveys, Socio-Economic Surveys, Demographic and Health Surveys, Nutrition Surveys, Food Security Surveys, Program Evaluation Surveys, Employees, customers and vendor satisfaction surveys, and opinion polls among others, all intended to provide data for decision making.

It is essential that these efforts go beyond merely generating new insights from data but also to systematically enhance individual human judgment in real development contexts. How can organizations better manage the process of converting the potential of data science to real development outcomes. These ten days hands-on course is tailored to put all these important consideration into perspective. It is envisioned that upon completion, the participants will be empowered with the necessary skills to produce accurate and cost-effective data and reports that are useful and friendly for decision making.

It will be conducted using ODK, GIS, NVIVO and R.

Course Duration

10 Days

Who Should Attend

• Researchers in social sciences, environmental studies, public health, and other fields
• Data analysts and data scientists
• Professionals in non-profit organizations, governmental agencies, and private sectors involved in data collection and analysis
• Graduate students and academic faculty members
• Anyone interested in learning about modern research methods and tools

Organizational Impact

• Enhance research integrity and credibility through a standardized, mixed-methods approach.

• Improve operational efficiency with mobile data collection, reducing time and costs.

• Uncover deeper insights to support more effective and impactful programs.

Personal Impact

• Gain specialized skills in modern research and evaluation methods.

• Advance into senior research, evaluation, or data stewardship roles.

• Contribute to high-quality, reliable research and lead complex projects with confidence.