Coursera

Simulate with Monte Carlo

Coursera

Simulate with Monte Carlo

Hurix Digital

Instructor: Hurix Digital

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

3 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

3 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Monte Carlo simulation turns qualitative risk assessments into quantitative probabilities, supporting data-driven decisions under uncertainty.

  • Knowing when simulation results stabilize helps assess model reliability and computational efficiency in business contexts.

  • Tornado charts and sensitivity analysis highlight the key variables affecting outcomes, enabling targeted risk mitigation.

  • Monte Carlo methods scale from simple ROI analysis to complex multi-variable scenarios, making them crucial for strategic planning.

Details to know

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Recently updated!

March 2026

Assessments

7 assignments¹

AI Graded see disclaimer
Taught in English

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This course is part of the Statistical Inference & Predictive Modeling Foundations Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course

Learners will understand the theoretical foundations of simulation modeling and prepare to build Monte Carlo models for business applications.

What's included

1 video2 readings2 assignments

Learners will build functional Monte Carlo simulation models using Excel and Python, executing 10,000+ iterations to generate probability distributions for project ROI analysis.

What's included

2 videos2 readings1 assignment1 ungraded lab

Learners will master sensitivity analysis through tornado charts and convergence testing to determine optimal iteration counts for reliable simulation results.

What's included

1 video2 readings2 assignments

Learners will integrate all Monte Carlo simulation skills through comprehensive practical applications and demonstrate mastery via course-level graded assessment covering all learning outcomes.

What's included

2 videos1 reading2 assignments

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Hurix Digital
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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.