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Course Outline
Understanding Data-Informed Decision-Making
- Key definitions and distinctions: data-informed versus data-driven
- Case studies of data-informed decisions in public administration
- Common sources of evidence in government contexts
Accessing and Assessing Data
- Identifying relevant metrics, indicators, and reports
- Evaluating the reliability and completeness of data
- Understanding data provenance and inherent limitations
Posing the Right Questions
- Framing decisions and defining specific information needs
- Determining what to ask of data teams, analysts, or dashboards
- Clarifying objectives before engaging with the data
Interpreting Data Insights
- Analysing tables, visualizations, and dashboards
- Distinguishing between correlation and causation
- Identifying gaps, anomalies, and potential biases
Applying Data to Real-World Decisions
- Using evidence to support or refine policy recommendations
- Weighting trade-offs and risks when data is partial
- Documenting rationale in memos, briefs, or presentations
Communicating and Defending Decisions
- Storytelling with data for non-technical stakeholders
- Building transparency into recommendations
- Responding to challenges or scrutiny with evidence
Summary and Next Steps
Requirements
- General experience in public policy, programme delivery, or service management
- Familiarity with government processes or decision-making workflows
- Confidence in interpreting charts, reports, or key performance indicators
Target Audience
- Policy and programme analysts
- Public administrators and managers
- Government decision-makers and strategic planners
7 Hours
Testimonials (3)
Learning that the QGIS and a tool that can used by other different professionals such land survey
Bame Duncan Koko - Bentel Technologies (Pty) Ltd
Course - QGIS for Geographic Information System
How to use open satellites data for real applications
Tshering Dorji - Druk Holding and Investments
Course - Advanced Geographic Information Systems (GIS)
Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.
