Financial and Business Simulation with Microsoft Excel

How to better predict the future, make more profits and advance your career by using uncertainties to your advantage
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39 students enrolled
Instructed by Justin Ren Business / Finance
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  • Lectures 8
  • Length 31 mins
  • Skill Level Expert Level
  • Languages English
  • Includes Lifetime access
    30 day money back guarantee!
    Available on iOS and Android
    Certificate of Completion
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About This Course

Published 3/2015 English

Course Description

"What will be the stock price tomorrow?"

"How many customer orders will we receive?"

"What is the chance our project will finish on time?"

To answer those questions, you need a tool to model and then predict the future.

In this course, we show you how to better predict the future, make more profits and advance your career by using Microsoft Excel!

The course will teach you:

  • How to model a coin-toss type of events: Will Red Sox win the next game? Will Apple Stock go up or down?
  • How to model a random quantity: project completion time, stock portfolio value etc..
  • Some most useful statistical distributions in business, such as the normal distribution
  • How to use uncertainties to your advantage and make optimal business decisions

You will discover the huge untapped potential by learning to simulate uncertain quantities (demand, stock prices, time...) and use them to make better business decisions - and more money - today!

What are the requirements?

  • You need to have some understanding about random events such as coin tosses, throwing a dice, stock price changes etc..

What am I going to get from this course?

  • Simulate random events in business such as demand flutuations or stock price movements
  • Incorporate simulation in making strategic decision under uncertain environment, and therefore make better decisions (and money too!)
  • Intelligently predict the future with a statistical distribution (instead of a point forecast)

Who is the target audience?

  • Professionals and managers that deal with uncertain environments such as the stock market

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.


Section 1: Start Here

Download Excel File:

Section 2: Simulate Discrete Outcomes
Simulate discrete outcomes such as throwing a dice
Section 3: Simulate Continuous Outcome Such as Sales from Best-case-worst-case Distribution
Best-Case-Worst-Case distribution, also called the Triangular Distribution
Simulate a Stock Portfolio Return with a Triangular Distribution
Section 4: The Bell Curve (i.e. the Normal Distribution)
Simulate A Normal Random Variable
Simulate a Stock Portfolio Return with a Normal Distribution
Section 5: Make Better Decisions with Simulation
How Much to Order when Demand is Unknown
Section 6: Stock Market Simulations
Model Stock Price Movement: Google

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Instructor Biography

Dr. Justin Ren is an Associate Professor of Business Administration in the Operations and Technology Management Department, Dean's Research Fellow, and Senior Fellow of Health Policy Institute at Boston University School of Management. He was also a Visiting Scholar and Research Affiliate at Massachusetts Institute of Technology (MIT) Sloan School of Management from 2009-2013.

For almost ten years, Professor Ren has been teaching analytics courses which focuses on tools and frameworks that help managers gain market intelligence and make strategic decisions. He also teaches in executive education in financial risk management. He is a certified teacher by the Harvard Business School Case Method Discussion Leadership Program.

Professor Ren has consulted for Fortune 500 companies as well as start-ups. His work has been mentioned in Sloan Management Review, China Daily, and the World Financial Review. He has been invited to give lectures and presentations around the world at institutions such as Harvard University, MIT, Duke, Dartmouth, Georgetown, Emory, INSEAD (France), Hong Kong University of Science and Technology, Peking University (China), and Tsinghua University (China).

Professor Ren received his M.S. in Operations Research and Ph.D. in Operations and Information Management from The Wharton School at the University of Pennsylvania.

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