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Introduction to Probability Management

Learn to communicate and calculate uncertainties using Stochastic Information Packets for better risk assessment.

Learn to communicate and calculate uncertainties using Stochastic Information Packets for better risk assessment.

This comprehensive course introduces probability management principles for handling uncertainties in business and decision-making. Through practical applications in Microsoft Excel, participants learn to use Stochastic Information Packets (SIPs) to better understand and communicate risk. The curriculum covers the Flaw of Averages concept, arithmetic of uncertainty, and interactive simulations. Students explore systematic errors in traditional averaging methods and learn modern techniques for calculating uncertainties. The course emphasizes practical skills in creating and sharing interactive simulations while addressing common misconceptions about statistical analysis.

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Introduction to Probability Management

This course includes

10 Weeks

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

9,272

What you'll learn

  • Recognize and avoid the Flaw of Averages in risk assessment

  • Master the Arithmetic of Uncertainty for accurate calculations

  • Create and share interactive simulations using Excel

  • Understand the five fundamental concepts of uncertainty

  • Apply probability management to real-world scenarios

Skills you'll gain

Probability Management
Risk Analysis
Statistical Modeling
Excel
Data Analysis
Uncertainty Calculation
Business Analytics
Decision Making

This course includes:

PreRecorded video

Graded assignments, exams

Access on Mobile, Tablet, Desktop

Limited Access access

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There are 4 modules in this course

This introductory course provides fundamental training in probability management using Stochastic Information Packets (SIPs). Through structured modules, participants learn to identify and address the Flaw of Averages, perform calculations with uncertain inputs, and create interactive simulations. The curriculum combines theoretical concepts with practical applications in Excel, making complex statistical concepts accessible.

Probability Management Basics

Module 1 · 2 Hours to complete

The Five Mindles of Uncertainty

Module 2 · 2 Hours to complete

Introduction to Applications

Module 3 · 2 Hours to complete

The Human Element

Module 4 · 2 Hours to complete

Fee Structure

Instructor

Sam Savage
Sam Savage

1 Course

Pioneering Educator in Probability Management and Decision Science

Dr. Sam L. Savage, an Adjunct Professor in Civil and Environmental Engineering at Stanford University, has made significant contributions to the fields of probability management and decision science. As the Executive Director of ProbabilityManagement.org, a nonprofit organization he co-founded, Dr. Savage has been instrumental in developing tools and standards for managing uncertainty in decision-making processes. His academic career includes teaching positions at the University of Chicago Graduate School of Business and a fellowship at the University of Cambridge Judge Business School. At Stanford, Dr. Savage teaches courses such as "Interactive Management Science" (MS&E 107/207), "The Flaw of Averages" (MS&E 22Q), and "Project Risk Analysis" (CEE 242R), where he combines theoretical concepts with practical applications. His innovative approach to teaching management science techniques uses interactive spreadsheets to make complex concepts accessible to students and professionals alike. Dr. Savage's work extends beyond academia, as he has consulted widely in industries ranging from petroleum to healthcare, and has served as an expert witness in litigation. His books, including "The Flaw of Averages" and "Chancification," have been influential in addressing the challenges of decision-making under uncertainty.

Introduction to Probability Management

This course includes

10 Weeks

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

9,272

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.