Applied Monte Carlo Simulation
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- This product is available at Udemy.
- At udemy.com you can purchase Applied Monte Carlo Simulation for only $74.99
- The lowest price of Applied Monte Carlo Simulation was obtained on January 24, 2026 11:45 am.
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Applied Monte Carlo Simulation
★★★★★
$74.99
in stock
Udemy.com
as of January 24, 2026 11:45 am
(Using an 8-Step Framework to simulate Business Models and Processes)
Created by:
Akram Najjar
Business Technology Consultant
Business Technology Consultant
Rating:4.54 (25reviews)
218students enrolled
What Will I Learn?
- To master the development of Monte Carlo Simulation models
- To learn a practical easy-to-use 8-step simulation process based on Microsoft Excel
- To go through 18 simulation models that cover different business sectors
- To learn how to identify input variables in a model and use them to randomize scenarios
- To learn how to use and apply more than 10 probability distributions as input variables
- To learn how to setup and interpret a variety of statistical methods that analyze the model's output
- To learn a variety of useful spreadsheet techniques that ease the modeling task
- To learn a set of good modeling and spreadsheet practices and some do's and don'ts
- To learn a variety of fundamental statistical procedures used in control of models and their analysis
Requirements
- 1) A working knowledge of Excel (but most specific techniques will be presented in the course)
- 2) A beginner's knowledge of statistics: probability, distributions, standard deviations, etc. (again most will be presented in the course)
Target audience
- 1) Highschool and University students who need to learn Monte Carlo Simulation
- 2) Analysts who need to apply Monte Carlo Simulation in various business processes
- 3) Professionals embarking on the use of Machine Learning methods who need to use Monte Carlo Simulation to verify their owrk
- 4) Curious people who need to know what Monte Carlo Simulation is and how it may help them in various walks of life
- 5) Analysts who need to verify and validate analytic estimates using simulation
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