Data Analysis Fundamentals for Development Professionals
Descriptive statistics, data quality, visualization, and the statistical fallacies that quietly mislead well-intentioned reports.
About this course
Applying Digital Skills at Work teaches you to read a dashboard critically; this course teaches you to build one honestly. Covers measures of central tendency and spread, data cleaning, sampling basics, choosing the right chart type, common statistical fallacies (correlation vs. causation, Simpson's paradox), survey design fundamentals, and data ethics in development work. No coding required - built for analysts and programme staff who work in spreadsheets, not statistical software. Completing all modules earns a Mafichoni certificate of completion. Need a data analysis capability built into your team? Mafichoni's training team runs this as a facilitated workshop - book a discovery call.
Curriculum
- Mean, median, and why the choice matters15 minPreview
- Choosing the right chart type16 minPreview
- From data to decision16 minPreview