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Duration 7 hours
Course Outline
Defining Data-Informed Decision-Making
- Core definitions and the distinction between data-informed and data-driven methodologies.
- Case studies of data-informed decisions in public administration.
- Primary sources of evidence in governmental settings.
Accessing and Evaluating Data
- Identifying pertinent metrics, indicators, and reports.
- Assessing data reliability and completeness.
- Comprehending data origins and inherent limitations.
Posing Effective Questions
- Defining decision frameworks and information requirements.
- Knowing what to ask of data teams, analysts, or dashboards.
- Clarifying objectives prior to data exploration.
Interpreting Data Insights
- Analyzing tables, visualizations, and dashboards.
- Distinguishing between correlation and causation.
- Detecting gaps, anomalies, and potential biases.
Applying Data to Practical Decisions
- Using evidence to support or modify policy recommendations.
- Balancing tradeoffs and risks when data is partial.
- Documenting the rationale in memos, briefs, or presentations.
Communicating and Substantiating Decisions
- Using data storytelling for non-technical stakeholders.
- Incorporating transparency into recommendations.
- Addressing challenges or scrutiny with evidence-based responses.
Summary and Future Directions
Requirements
- Foundational experience in public policy, program execution, or service management.
- Acquaintance with governmental processes or decision-making procedures.
- Ability to interpret charts, reports, or key performance indicators.
Target Audience
- Policy and program analysts.
- Public administrators and managers.
- Government decision-makers and strategic planners.
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.
