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Course Outline
What is Data-Informed Decision-Making?
- Key definitions and distinctions: data-informed vs data-driven
- Examples 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 limitations
Asking the Right Questions
- Framing decisions and defining information needs
- What to ask of data teams, analysts, or dashboards
- Clarifying objectives before diving into data
Understanding What the Data Says
- Interpreting tables, visualizations, and dashboards
- Recognizing correlation vs causation
- Spotting gaps, anomalies, and biases
Applying Data to Real Decisions
- Using evidence to support or refine a policy recommendation
- Weighing tradeoffs and risks with partial data
- Documenting rationale in memos, briefs, or presentations
Communicating and Defending Decisions
- Storytelling with data for non-technical stakeholders
- Building transparency into your recommendations
- Responding to challenges or scrutiny with evidence
Summary and Next Steps
Requirements
- General experience in public policy, program delivery, or service management
- Familiarity with government processes or decision-making workflows
- Comfort interpreting charts, reports, or key performance indicators
Audience
- Policy and program analysts
- Public administrators and managers
- Government decision-makers and strategic planners
7 Hours
Testimonials (3)
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.
Ian - Archeoworks Inc.
Course - ArcGIS Fundamentals
All the topics which he covered including examples. And also explained how they are helpful in our daily job.
madduri madduri - Boskalis Singapore Pte Ltd
Course - QGIS for Geographic Information System
The thing I liked the most about the training was the organization and the location
