Programme Overview
Training Description
Who Should Attend
• Government economists and policy analysts
• Tax authority officials
• Staff from central banks and finance ministries
• Data scientists in the public sector
• Academics and researchers in public policy
• Fiscal policy and budget planners
• Professionals involved in economic forecasting
• Compliance and revenue officers
• Financial modelers in government
• Statisticians and data specialists
Session Objectives
- Apply data science methodologies to fiscal policy challenges.
- Use Apply data science methodologies to fiscal policy challenges.
- Develop accurate tax revenue forecasting models.
- statistical and machine learning models for policy simulation.
- Create and interpret dashboards for policy visualization.
- Conduct robust sensitivity and scenario analysis.
- Implement ethical considerations in data-driven policy.
- Enhance communication skills for presenting data insights.
About the Course
The integration of data science, economic theory, and fiscal policy has become the new frontier for effective governance and sound financial management. This advanced training course is designed to empower analysts and policymakers with the skills to leverage big data for precise tax policy analysis, robust economic forecasting, and sophisticated financial modeling. Participants will learn how to transform raw data into actionable insights, enabling them to design equitable and efficient tax systems, predict economic trends with greater accuracy, and model the fiscal impact of policy changes.
Over a dynamic, this course will move from foundational data science principles to their practical application in the public sector. The curriculum emphasizes hands-on learning with real-world datasets, equipping participants with the ability to use powerful tools and techniques for predictive analytics and scenario analysis. By the end of this program, regulators and economists will be prepared to lead data-driven policy initiatives, ensuring their institutions can navigate complex economic challenges and contribute to sustainable national development.
Curriculum & Topics
14 Topics | 10 Days
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