By the end of the course, participants will be able to:

• Understand the fundamentals of data analytics and its role in decision-making.
• Apply descriptive, diagnostic, predictive, and prescriptive analytics.
• Use statistical and visualization tools to interpret data.
• Develop dashboards and reports for effective communication.
• Integrate analytics into organizational decision-making processes.
• Manage data quality, ethics, and governance issues.

• Managers and decision-makers in public and private sectors
• Business analysts and data professionals
• Policy makers and program managers
• Project leaders and strategists
• Anyone seeking to enhance decision-making through data

• Lectures & presentations for conceptual grounding
• Hands-on exercises using analytics tools (Excel, Power BI, or similar)
• Case studies from business, government, and NGO contexts
• Group projects to apply analytics in real-world scenarios
• Simulations for decision-making under uncertainty
• Daily reflection sessions to consolidate learning

Day 1: Introduction to Data Analytics

• Role of data in modern decision-making
• Types of analytics: descriptive, diagnostic, predictive, prescriptive
• Data sources and collection methods
• Group exercise: Identifying data needs for organizational decisions

Day 2: Descriptive & Diagnostic Analytics

• Statistical foundations: mean, median, variance, correlation
• Data visualization techniques (charts, dashboards)
• Root cause analysis and diagnostic frameworks
• Workshop: Building a diagnostic dashboard

Day 3: Predictive Analytics

• Introduction to forecasting models and regression analysis
• Machine learning basics for decision-making
• Scenario planning using predictive models
• Case study: Predictive analytics in business operations

Day 4: Prescriptive Analytics & Decision Models

• Optimization techniques and decision trees
• Simulation models for complex decisions
• Risk analysis and sensitivity testing
• Workshop: Designing prescriptive models for resource allocation

Day 5: Data-Driven Strategy & Governance

• Integrating analytics into organizational strategy
• Data ethics, privacy, and governance frameworks
• Communicating insights to stakeholders
• Final group presentations: Data-driven decision-making project

CDGA attendance certificate will be issued to all attendees completing minimum of 80% of the total course duration.