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Course Outline
Understanding Data-Informed Decision-Making
- Core definitions and distinctions: data-informed versus data-driven
- Case studies of data-informed decisions in public administration
- Common sources of evidence in government settings
Gaining Access to and Evaluating Data
- Identifying pertinent metrics, indicators, and reports
- Assessing the reliability and completeness of data sets
- Comprehending data provenance and inherent limitations
Pose the Right Questions
- Framing decisions and establishing information requirements
- Determining key queries for data teams, analysts, or dashboards
- Defining objectives before engaging with the data
Interpreting Data Insights
- Reading tables, visualizations, and dashboards
- Differentiating between correlation and causation
- Identifying gaps, anomalies, and potential biases
Applying Data to Practical Decisions
- Utilising evidence to bolster or adjust policy recommendations
- Assessing trade-offs and risks when data is incomplete
- Recording the rationale in memos, briefs, or presentations
Communicating and Defending Decisions
- Narrative techniques for presenting data to non-technical stakeholders
- Incorporating transparency into your recommendations
- Addressing challenges or scrutiny with robust evidence
Summary and Next Steps
Requirements
- General experience in public policy, program delivery, or service management
- Knowledge of government processes or decision-making workflows
- Confidence in interpreting charts, reports, or key performance indicators
Target Audience
- Policy and program 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.
