Creating Simulations in Excel: Advanced (Asynchronous)
$310.00
Learn how to build more complex, scalable, and automated simulation models in native Microsoft Excel. This course introduces advanced functions—including dynamic arrays, custom formulas, and reusable components—to improve speed, accuracy, and flexibility. Modules are delivered asynchronously with online review questions and downloadable spreadsheet templates.
Unless you already have professional expertise in running simulations in Microsoft Excel, it is highly recommended that you complete the Creating Simulations in Excel: Basic and Creating Simulations in Excel: Intermediate trainings prior to signing up for this class.
Within 24 hours of course registration, you will receive an email confirming your enrollment in the academy modules and directions to access them.
What's the chance that a project will lose money or be cancelled? What's the most likely return on investment for a given initiative? How can you scale simulation models to adapt to evolving risks and inputs over time—while reducing errors and increasing efficiency?
Running simulations has been shown to measurably improve estimates in uncertain decisions, but most organizations still rely on overly simplified or static models. This course teaches participants how to advance their simulation capabilities by building robust, scalable, and automated models—using only native Microsoft Excel, with no coding or add-ons required.
Creating Simulations in Excel: Advanced builds upon the concepts from the Basic and Intermediate courses and introduces advanced methods for scaling, automating, and optimizing simulation models for a wide range of decision-making scenarios.
In this course, participants will learn how to:
- Streamline repetitive tasks through automation and modular templates.
- Build models faster and with fewer errors using traceable and standardized methods.
- Adapt simulations for use across different projects and contexts with scalable model design.
- Use advanced Excel functions such as dynamic arrays, custom formulas, reusable components, and robust referencing techniques.
- Integrate simulation logic into real-world cases, beginning with a simplified solar farm investment analysis and progressing into more complex applications.
Participants will work directly in a provided Excel workbook that walks through each topic step-by-step. The course is delivered asynchronously with online review questions and downloadable spreadsheet templates to reinforce practical application.
Why You Need Simulations in Your Decision Models
What keeps every decision from being a great one is the range of uncertain future outcomes—some of which could represent substantial losses. To account for this risk, we need tools that let us model thousands of scenarios quickly and reliably.
Enter the Monte Carlo simulation. Originally developed during the Manhattan Project, the Monte Carlo method produces a large number of simulated outcomes using random values to estimate which results are most likely. Studies show that simulations of this kind measurably improve forecasts across industries—from NASA mission planning to energy sector investment modeling.
Creating Simulations in Excel: Advanced empowers participants to take their models from functional to flexible, enabling better decisions under uncertainty with tools they already have. This course is the next step in mastering simulation modeling using only native Excel.
Prerequisites: Completion of Creating Simulations in Excel: Basic & Intermediate is strongly recommended prior to enrolling in this course. Excel 2021+ or Office 365 required.
