Key Modules
- Understanding and Structuring Risk Data
- Visual Analytics and Decision Support
- Predictive Modelling and Risk Indicators – I
- Linear regression
- Predictive Modelling and Risk Indicators – II
- Data Analysis Integrated and Institutional Implementation
Outcome:
- Structure and manage high-quality project risk data
- Apply visual analytics to support decision-making
- Build predictive models for early risk detection
- Use risk indicators to anticipate and mitigate project failures
- Integrate data-driven risk management into institutional and organisational processes