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Risk Analysis
Coursera MOOC / Non-credit 0

Risk Analysis

About this course

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.

B

75/100

CourseAsk score

What the provider tells you
39/45
Who stands behind it
20/35
How complete the listing is
16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

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
Project Management #risk management #spi #monte carlo simulation #decision trees #FMEA #story points #quality analysis #burndown charts #fault tree analysis #Agile metrics #SV #tornado diagrams #Ishikawa diagrams #network sensitivity analysis
$49.00

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