PathBeginner
Monitoring & Evaluation Officer
The core track for a new M&E officer — indicator definition, routine data quality, and reporting that survives a donor review, taught in both Python and R.
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Paths built around the job, not the tool
Each path names the competencies the role needs, the courses and projects that build them, and how the skill is assessed.
PathAdvanced
Senior Monitoring & Evaluation Officer
For the officer who now signs off other people's numbers — designing the measurement system rather than filling it in, and defending it in a review where the figures are contested.
PathAdvanced
Monitoring & Evaluation Manager
For the manager accountable for a measurement function rather than an analysis — what to standardise, what to let teams decide, and how to tell whether the data your programme produces is worth its cost.
PathIntermediate
Data Analyst
The generalist analyst track — take a messy export from any sector, clean it defensibly, and produce the table or figure that answers the question actually asked.
PathIntermediate
Public Health Analyst
For analysts working with routine health system data — coverage, cascades and completeness — with the epidemiological reasoning to interpret them.
PathIntermediate
Humanitarian Information Manager
For the IM officer holding a cluster's shared data — assessment analysis, inter-agency reporting, and the responsibility questions that come with holding data about people in crisis.
PathAdvanced
Health Informatics Specialist
For the specialist between the health information system and the people who must act on it — reporting completeness, aggregate data structures, and the denominators a routine system does not give you.
PathAdvanced
Research Officer
For the officer running surveys rather than reading them — sampling, estimation with the design accounted for, and the plausibility checks that decide whether a result can be published at all.
PathBeginner
Program Manager
For the manager who has to act on analysis rather than produce it — reading a figure well enough to decide on it, and knowing which question to send back.
PathAdvanced
Data Scientist for NGOs
For the data scientist working where the constraint is not the model but the decision — small samples, targeting rules people can contest, and predictions that get acted on by a person visiting a household.