Modeling Risk and Realities

$99.00

Useful quantitative models help you to make informed decisions both in situations in which the factors affecting your decision are clear, as well as in situations in which some important factors are not clear at all. read more…

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What you'll learn

Week 1: Modeling Decisions in Low Uncertainty Settings

Week 2: Risk and Reward: Modeling High Uncertainty Settings

Week 3: Choosing Distributions that Fit Your Data

Week 4: Balancing Risk and Reward Using Simulation

Description

Useful quantitative models help you to make informed decisions both in situations in which the factors affecting your decision are clear, as well as in situations in which some important factors are not clear at all. In this course, you can learn how to create quantitative models to reflect complex realities, and how to include in your model elements of risk and uncertainty.

You’ll also learn the methods for creating predictive models for identifying optimal choices; and how those choices change in response to changes in the model’s assumptions. You’ll also learn the basics of the measurement and management of risk. By the end of this course, you’ll be able to build your own models with your own data, so that you can begin making data-informed decisions. You’ll also be prepared for the next course in the Specialization.

Requirements

Access to a computer or mobile device with an internet connection.

Motivation to learn!

There are no special materials or prerequisite knowledge required for this course.

Who this course is for

Students who are new to this field

Students willing to put in a couple hours to learn about Modeling Risk and Realities

Advanced students wanting to add another skill to their portfolio

Content Creator

Sergei Savin – Associate Professor of Operations, Information and Decisions – The Wharton School
Senthil Veeraraghavan – Associate Professor of Operations, Information and Decisions – The Wharton School

This course includes

Participation Confirmation/Certificate

Option for learning at your own pace

Videos and reading material about the course

Practice tests

Assessed tasks with feedback from other course participants

Evaluated tests with feedback

Evaluated programming tasks

Discussions

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