In today’s fast-paced projects, risks can appear at any moment and knowing how to manage them is what sets great professionals apart. Risk Analysis teaches you to identify, assess, and mitigate risks before they become problems. Begin by using qualitative methods such as FMEA, Fault Tree Analysis, Affinity Diagrams, and the Analytic Hierarchy Process (AHP) for identifying potential issues, charting their causes, and prioritizing them appropriately. Then move to quantitative methods, using metrics such as SV, SPI, CV, CPI, and EAC to monitor schedules and budgets. Explore Agile metrics like burndown charts and story point completion, while applying Monte Carlo simulations, tornado diagrams, network sensitivity analysis, Ishikawa diagrams, and decision trees to forecast impacts and plan solutions. Tailored for project managers, business analysts, and future risk practitioners, this course prepares you to identify the complexity of risk, analyze risk net value, and improve decision-making on projects in any context.
What you'll learn
Identify potential risks using qualitative methods
Apply quantitative metrics to monitor schedules and budgets
Utilize Agile metrics and simulations for forecasting
Create decision trees and sensitivity analyses to plan solutions
Course objectives
Prepare project managers to handle risks effectively
Enhance decision-making skills related to project management
Equip future risk practitioners with foundational tools and techniques