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Online Course on Behavioural Economics in Action by University of Toronto [6 Weeks]: Enroll Now

University of Toronto is offering a 6-weeks Online Course on Behavioural Economics in Action. Online registrations are open on the official website.

About the Course

How can we get people to save more money, eat healthy foods, engage in healthy behaviors, and make better choices in general? There has been a lot written about the fact that human beings do not process information and make decisions in an optimal fashion.

This course builds on much of the fascinating work in the area of behavioral economics and allows learners to develop a hands-on approach by understanding its methods and more importantly, how it can be harnessed by suitably designing contexts to “nudge” choice.

In three modules, learners will be able to a) explain and interpret the principles underlying decision-making and compare the nudging approach to other methods of behavior change, b) learn how to critique, design and interpret the results of experiments; and c) design nudges and decision-tools to help people make better decisions.

What you’ll learn?
  • Develop an understanding of the philosophy and the principles underlying the field of behavioral economics
  • Understand the differences between choice architecture / nudging and other approaches to behaviour change.
  • Understand the key elements of an experiment, differentiate between three basic types of experimental designs, and gain insight into ANOVA and regression techniques for analyzing data.
  • Use a prescribed process for designing your own nudges, and identify specific resources and tools you will need to execute a nudging strategy.
  • Apply some of the learnings and ideas to policy and business.
Duration

6 Week (4–5 hours per week)

Fee

₹10,353, For the full program experience.

To enroll for this course, click the link below.

Online Course on Behavioural Economics in Action by University of Toronto

Note: NoticeBard is associated with edX through an affiliate programme.

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