Course · beginner
Data Analysis Foundations for M&E
Load, clean and summarise routine programme data in both Python and R, then turn it into the indicator tables a donor report actually needs.
pythonr18 hours3 lessons
What you will be able to do
- Read programme exports from CommCare, KoboToolbox and DHIS2 into a tidy table
- Diagnose and document the data quality problems routine data always carries
- Produce a disaggregated indicator table that matches a logframe definition
- Reproduce the same analysis in Python and in R
Routine programme data rarely arrives clean. This course starts from the exports you already have — a CommCare form dump, a KoboToolbox CSV, a DHIS2 pivot — and works through to an indicator table you can defend in a donor review.
Every technique is taught twice, once in Python and once in R, because M&E teams are split across both and you will inherit whichever the last officer used.