Build data skills you can apply to real work.
Practice-first learning for students, researchers, professionals and institutional teams—grounded in African contexts and focused on confident application.
From analysis fundamentals to responsible AI.
Programs can be delivered online, in person or through a hybrid format, with exercises and projects shaped around the learner’s goals.
Statistics & research
Research formulation, statistical methods, SPSS, R, interpretation and clear reporting.
Data analysis
Data preparation, exploratory analysis, visualization, dashboards and evidence-based storytelling.
Python & data science
Practical Python, analytical workflows, predictive methods and portfolio-ready projects.
Monitoring & evaluation
Indicators, data collection, MEL frameworks, impact analysis and decision-ready reporting.
AI for professionals
Responsible, useful AI concepts and workflows for research, operations and organizational productivity.
Custom team training
Context-specific learning programs built around an organization’s datasets, tools and capability gaps.
Learn by doing, not by watching.
Real projects
Learners practise with realistic questions, data and deliverables rather than isolated demonstrations.
Guided application
Clear instruction is paired with feedback, peer learning and support through difficult analytical decisions.
Useful outputs
Programs work toward portfolios, reports, dashboards, research outputs or workplace improvements.
African relevance
Examples and problems reflect the institutional, market and development contexts learners encounter.
Find the right learning route.
Tell us what you want to learn, your current level and whether the enquiry is for yourself or a team. We will recommend the most suitable next step.
Course dates, fees, instructors and certification details are confirmed individually until the public programme calendar is launched.