Overview
Data Analytics
A job-oriented course that takes you from collecting raw data all the way to clear insights and dashboards. You learn the full pipeline: collect, clean, analyze, and present. It covers the tools real employers here use, spreadsheets, KoboToolbox, SPSS, and SQL, then adds data visualization and dashboards.
Prerequisites
Comfortable with computers and basic math. Spreadsheet experience helpful but not required. No coding needed to start.
Curriculum
Structured in phases
7 phases · tap any phase to expand the details.
What a data analyst does, the analysis workflow (collect → clean → analyze → present), types of data, and where analysts actually work in this region (NGOs, government, business, research).
Outcome
You can run the full data pipeline: collect data with KoboToolbox, clean it, analyze it in spreadsheets, SPSS, and SQL, visualize it in a dashboard, and present clear findings. You finish with a capstone project in your portfolio and the exact tool set that NGOs, government, and businesses in the region hire for.
