Training course on Data Analytics for Policy Making and Public Service Delivery

Module 1: Introduction to Data Analytics in Policy Making

Role of data in evidence-based governance

Key concepts: descriptive, predictive, and prescriptive analytics

Case studies of data-driven policy interventions

Module 2: Data Sources, Tools, and Techniques

Administrative, survey, and big data sources in the public sector

Tools for data collection, processing, and visualization

Open data and government data platforms

Module 3: Applying Analytics in Public Service Delivery

Resource allocation and service optimization

Predictive analytics for healthcare, education, and social services

Case study: improving efficiency through analytics

Module 4: Data Governance, Ethics, and Privacy

Legal and regulatory frameworks for public sector data use

Ensuring data quality, security, and ethical standards

Balancing transparency with data privacy

Module 5: Future of Data-Driven Policy and Capstone Exercise

Emerging trends: AI, machine learning, and real-time data in governance

Building data-driven cultures in government institutions

Capstone exercise: Designing a data analytics strategy for a policy or service delivery challenge