14 Topics
10 Days
14 Sessions
Programme Overview
Training Description
Who Should Attend
- Treasury Officials
- Budget Officers
- Financial Analysts
- Risk Management Professionals
- Compliance Officers
- Auditors
- Accountants
- Development Partner Professionals
- Researchers and Academics
- Consultants in Public Finance and Policy
- Digital Transformation Professionals
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 increasing complexity of modern economies requires governments, financial institutions, and policy organizations to leverage data-driven approaches for effective taxation, revenue forecasting, and evidence-based policymaking. The Unlocking The Future: Data Science for Tax and Policy Modeling Training Course equips participants with the knowledge and practical skills to apply data science techniques, analytics, and computational methods to tax analysis, revenue optimization, and public policy decision-making.
Through real-world case studies and practical applications, participants will explore how governments and organizations use data science to improve tax administration, combat revenue leakage, enhance compliance, and design responsive economic policies. The course also addresses emerging technologies such as artificial intelligence (AI), automation, and big data analytics in the future of taxation and public finance.
Curriculum & Topics
14 Topics | 14 Sessions
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