Master Outcome measurement Training Courses

Difference-in-Differences (DiD) Analysis Training Course equips participants with advanced analytical skills to identify treatment effects, control for confounding variables, and interpret results with precision

Experimental Designs in Evaluation Training Course empowers participants to design, implement, and analyze experiments that accurately measure program effectiveness, assess causal relationships, and optimize interventions.

Quasi-Experimental Methods in M&E Training Course offers a deep dive into quasi-experimental designs, covering methodologies such as difference-in-differences, propensity score matching, regression discontinuity, and interrupted time series.

Theory of Change Design and Application Training Course equips participants with practical, results-based methodologies to design, validate, and apply Theory of Change models across development, humanitarian, social innovation, and ESG-driven programs.