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Risk analysis using primavera risk analysis
15 students
Risk analysis using primavera risk analysis
Master Schedule Risk Analysis, Cost Risk Assessment, and Risk-Based Decision Making Using Primavera Risk Analysis
Created byAbdulla Mansor
Last updated 7/2026
Arabic
What you'll learn
- Understand the fundamentals of project risk management and its importance in project planning and control.
- Identify and categorize project risks that can impact schedule and cost performance.
- Identify and categorize project risks that can impact schedule and cost performance.
- Import and configure project schedules in Primavera Risk Analysis (PRA).
- Define and apply uncertainty ranges to activity durations and costs using appropriate probability distributions.
- Perform Monte Carlo simulations to evaluate potential project schedule and cost outcomes.
- Analyze schedule confidence levels and determine realistic project completion dates.
- Develop risk-informed mitigation plans and generate professional risk analysis reports for project stakeholders and decision-makers.
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Course content
2 sections • 18 lectures • 3h 50m total length
Requirements
- • Basic understanding of project scheduling concepts is beneficial but not mandatory.
- • Familiarity with Primavera P6 is recommended, as the course uses Primavera schedules for risk analysis examples.
- • Basic knowledge of project management principles will help learners better understand risk management concepts.
- • A computer capable of running Primavera Risk Analysis is recommended for completing the practical exercises.
- • Willingness to learn schedule risk analysis techniques and apply them to real-world projects.
Description
This comprehensive course is meticulously designed to empower project professionals with the practical knowledge and advanced hands-on skills necessary to master risk management and quantitative risk analysis through the utilization of Primavera Risk Analysis. In today’s complex project environments, the ability to move beyond subjective assessments and adopt data-driven methodologies is a vital competitive advantage. Throughout this program, participants will embark on a structured journey, starting with the fundamental techniques of identifying project risks, and progressing toward complex quantitative modeling.
A core focus of this curriculum is the application of rigorous risk analysis techniques to real-world project schedules. Attendees will learn to assess the multifaceted impacts of risks on both project timelines and budgets. By gaining proficiency in Monte Carlo simulations, participants will be able to translate uncertainty into actionable insights, allowing them to calculate precise confidence levels and determine the probability of project completion with significantly higher accuracy. This scientific approach helps in identifying the primary "risk drivers" that could derail a project, thereby enabling more targeted and effective contingency planning.
Furthermore, the course emphasizes the art of strategic decision-making based on reliable risk data. Participants will explore how to develop robust mitigation strategies that not only address immediate threats but also protect project margins over the long term. By the end of this professional training, participants will be fully equipped to use Primavera Risk Analysis to evaluate project uncertainty comprehensively. They will be transformed into proactive project controllers, capable of improving forecasting accuracy and providing executive stakeholders with the clarity needed to make informed, confident, and professional decisions that keep complex projects on track, within budget, and aligned with organizational objectives. This is an essential course for any serious scheduler, risk manager, or project control expert aiming to elevate their professional capabilities.
Who this course is for:
- • Planning and Scheduling Engineers who want to enhance their skills in quantitative risk analysis and schedule risk assessment.
- • Project Controls Engineers seeking to integrate risk analysis into project planning, monitoring, and reporting processes.
- • Project Managers who need to understand the impact of risks on project schedules and make data-driven decisions.
- • Delay Analysts and Claims Consultants interested in using risk analysis techniques to support extension of time (EOT) and delay-related assessments.
- • Risk Managers looking to improve their ability to quantify and communicate project risks.
- • Anyone interested in learning Monte Carlo Simulation, schedule risk analysis, and probabilistic project forecasting.