Who should attend
- Functional Managers
- Any professional that uses data to make business decisions
About the course
The sheer variety of sources and types of data that can aid in decision making are almost overwhelming. The key to making good use of the data lies in knowing what specifically to pay attention to, understanding the relationships and variables among the data, and making the right connections.
Experience is essential to knowing and making educated guesses about what requires attention. Familiarity with statistical methods will provide you with a significant advantage over relying on gut instinct alone.
In this course you will learn to identify uncertainty in a business decision, and to choose variables that help reduce uncertainty. By the end of this course, you will have a robust decision model that you can use to make predictions related to your decision. Along the way, you will clarify and enhance your understanding of the factors that influence possible outcomes from the decision.
Participants who complete this course will be able to...
- Determine the degree of uncertainty in your decision and determine the impact of this uncertainty
- Identify data relationships to reduce uncertainty
- Create a regression model that looks at attributes of variables driving the decision
- Refine your regression model to improve its validity
- Create a convincing argument for the validity of your model
- Make a prediction or an estimate using your model
Chris K Anderson is a Professor at the Cornell School of Hotel Administration. Prior to his appointment in 2006, he was on faculty at the Ivey School of Business in London, Ontario Canada. His main research focus is on revenue management and service pricing. He actively works with industry, acros...
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Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.
We are happy to help you find a suitable online alternative.