At the end of this course, you’ll understand:

• Application of advanced quantitative and qualitative monitoring techniques including real-time data collection.
• In-depth study of impact evaluation methodologies such as randomized control trials and quasi-experimental designs.
• Use of statistical tools for data analysis and interpretation to assess program effectiveness and outcomes.
• Development of robust evaluation frameworks including Theory of Change and logical frameworks.
• Strategies for integrating evaluation findings into organizational learning and decision-making processes.
• Addressing challenges in impact assessment like attribution, selection bias, and counterfactual analysis for credible results.