Professional Training
- Conducting Training and Capacity Needs Assessments in Various Sectors
- Identify skill gaps across individuals, teams, and institutions
- Align training programs with organizational goals and sector-specific demands
- Prioritize learning outcomes based on baseline capacity and operational needs
- Research Methods
- Equip participants with foundational and advanced skills in qualitative and quantitative research
- Introduce sampling techniques, ethical considerations, and instrument development
- Promote critical thinking in research design and analysis
- Data Collection & Analytics
- Train on digital data collection tools (e.g., KoboCollect, SurveyCTO, ODK)
- Ensure quality data management, cleaning, and coding procedures
- Apply statistical tools (Excel, Stata, R, SPSS) for descriptive, inferential, and predictive analytics
- Training on Project Design, Monitoring, Evaluation, and Learning (MEL)
- Teach fundamentals of Project Design, Management and Evaluation
- Teach the project cycle and related aspects
- Teach logical framework approaches, results-based management, and M&E systems
- Develop skills in indicator development, baseline surveys, and evaluation planning
- Use M&E tools to track performance, assess impact, and inform decision-making
