Free Download Project Risk Quantification with Monte Carlo SimulationPublished 3/2026
Created by Fernando Hernandez
MP4 |
Video: h264, 1280x720 |
Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels |
Genre: eLearning |
Language: English |
Duration: 56 Lectures ( 3h 14m ) |
Size: 2.36 GB
✓ Introduce Monte Carlo simulation for project risk management and uderstand how to manage projects in such a way as to meet their specified costs and schedules
✓ Integrate and understand the true interaction of three fundamental elements: schedules, budget and risks
✓ Understand how to meet the multiple objectives of a project-delivering it on time and within its budget.
✓ Be able to develop an integrated Monte Carlo simulation process understanding its components of probability distribution functions interacting with randomness.
Requirements● Basic familiarity with Microsoft Excel (opening files, entering data, and using simple formulas)
● A general understanding of what a project is - including tasks, timelines, and budgets - from any industry
● No prior knowledge of statistics, probability, or Monte Carlo simulation required
● No programming or coding skills needed
● A computer with Microsoft Excel installed (Windows recommended for full iziRisk Quantum functionality)
● Access to the iziRisk Quantum file provided in the course (student version included at no extra cost)
● An open mind and willingness to replace gut-feel risk management with data-driven decision making
DescriptionMost projects fail not because of poor planning, but because of poor risk planning. Cost overruns, schedule delays, and unexpected events are not accidents - they are quantifiable. This course gives you the tools, methodology, and hands-on practice to measure, model, and manage project risk with mathematical precision.
Using Monte Carlo simulation - the same methodology used by NASA, major financial institutions, and world-class engineering firms - you will learn how to transform your project plan into a probabilistic forecasting model that accounts for uncertainty in task durations, budget costs, and risk events simultaneously.
Unlike traditional risk management approaches that rely on subjective matrices and three-point guesses, this course teaches you to build integrated models that combine your project schedule, cost structure, and risk register into a single simulation framework. You will run thousands of scenarios, interpret probability distributions, calculate data-justified contingency reserves, and evaluate competing mitigation strategies - all without needing a background in advanced mathematics.
What makes this course different
• You will work with real project models, not toy examples
• You will use professional-grade simulation software (iziRisk Quantum for Excel), included with the course
• Every concept is taught visually, intuitively, and immediately applied in practice
• You will learn to speak the language of risk quantification that sponsors, clients, and executives actually respond to
By the end of this course, you will be able to
• Run Monte Carlo simulations on integrated cost and schedule models
• Apply frequency-severity analysis using PERT, Triangular, Poisson, and Log-normal distributions
• Interpret histograms, S-curves, tornado charts, and scatter plots to support decision-making
• Calculate probabilistic contingency reserves at any confidence level
• Design, evaluate, and compare risk mitigation strategies using incremental simulation analysis
• Present quantitative risk results clearly and credibly to any stakeholder
Whether you manage construction projects, technology implementations, infrastructure programs, or investment initiatives, this course will permanently change how you think about - and plan for - uncertainty.
Stop guessing. Start simulating.
Who this course is for■ Project managers and coordinators who want to move beyond gut-feel risk assessments and make data-driven scheduling and budget decisions
■ Engineers and technical professionals in construction, infrastructure, oil & gas, or technology projects who need to quantify uncertainty in timelines and costs
■ Financial analysts and project controllers responsible for budget forecasting, contingency estimation, or investment project evaluation
■ Risk management professionals who currently rely on qualitative risk matrices and want to upgrade to quantitative, simulation-based methods
■ PMI-certified professionals (PMP, PMI-RMP) looking to deepen their practical understanding of Monte Carlo simulation as described in the PMBOK® Guide
■ Business analysts and consultants who need to present probabilistic cost and schedule forecasts to stakeholders with confidence and credibility
■ University students and recent graduates in engineering, finance, or business who want a competitive edge in project risk quantification
■ Anyone who has heard of Monte Carlo simulation but always thought it was too complex, too expensive, or only for mathematicians - and wants to prove that assumption wrong
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