About
Built for the people who report the numbers
Most data training assumes a clean dataset and a data science job. This platform assumes a CommCare export, a deadline, and a donor who will ask what the denominator was.
Why this exists
Monitoring and evaluation officers, public health analysts and humanitarian information managers do serious analytical work with little formal training aimed at their actual conditions. The datasets are messy in specific, repeating ways. The tooling is split between Python and R depending on who held the post last. The questions are operational, not academic.
Every course here is taught in both Python and R, on data shaped like the data that arrives, with the awkward parts left in.
The ecosystem
This is the first site of a wider set of courses undercassion.dev. Each subject gets its own subdomain, sharing one catalogue, one dataset library and one set of career paths.
Roadmap
- Data AnalysisPython and R for M&E, public health and humanitarian programmesLive
- PythonPython for development dataPlanned
- RR and the tidyverse for programme dataPlanned
- SQLQuerying programme databasesPlanned
- StatisticsApplied statistics for programmesPlanned
- GISSpatial analysis and mappingPlanned
- Machine LearningPredictive models for programme dataPlanned
- AIApplied AI for the social sectorPlanned
- Health InformaticsDHIS2, health systems and standardsPlanned
- MonitoringMonitoring systems and indicator designPlanned
- DashboardsReporting and visualisation practicePlanned
- Public HealthEpidemiology and health programme analysisPlanned
- HumanitarianResponse analytics and coordination dataPlanned
- ProjectsPortfolio projects across the ecosystemPlanned
- DatasetsThe shared dataset libraryPlanned
- DocsPlatform and contributor documentationPlanned
- APIProgrammatic access to catalogue dataPlanned
- BlogArticles and tutorialsPlanned