Dan Ariely on Making Decisions
58mGeneral2022-01-18
Authors

Dan Ariely
Professor of Psychology and Behavioral Economics
Course details
What happens in your brain when you make a decision? When should you use your intuition? How do you make a decision when the stakes are high, when someone will be negatively impacted, when there’s too much or too little information, or when you need to involve your whole team in the decision-making process? And how can you stop procrastinating making a decision? In this course, Dan Ariely—social scientist, beloved professor, and best-selling author of seven books—answers the most-pressing questions about decision-making, based on insights from his extensive research.
Skills covered
Decision-MakingProfessional DevelopmentLeadership and ManagementOne-Off
Concepts
0. Introduction
- 01 - Dan Ariely on Making Decisions
- 02 - Get to know Dan
1. All about Decision-Making with Dan Ariely
- 03 - What's happening in my brain when I make a decision
- 04 - How do I make a decision under stress
- 05 - How do I make a decision when the stakes are high
- 06 - Why do I procrastinate on making a decision
- 07 - How do I decide when someone will be negatively impacted
- 08 - How do I decide when there's too much information
- 09 - How do I decide when there is limited information
- 10 - What is the risk of group decision-making
- 11 - Should I allow my team to work remote permanently
- 12 - Should I say yes to a new project
- 13 - Should I say yes to a job offer
- 14 - Why should I ignore sunk costs in a decision
Related courses
- SQL for Statistics Essential Training
- Advanced C Programming: Optimize Performance and Efficiency
- C: Data Structures, Pointers, and File Systems
- Introduction to Spark SQL and DataFrames
- Troubleshooting Common PC Issues for Users
- Intermediate SQL for Data Scientists (2021)
- Spark for Machine Learning & AI
- Emerging Leader Foundations
Related learn paths
- Explore a Career in IT Support
- Advance Your Skills as an IT Help Desk Specialist
- Advance Your Data Skills in Apache Spark
- Master SQL Development
- Moving from Data Analyst to Data Scientist
- Master SQL for Data Science
- Advance Your Skills in the Hadoop/NoSQL Data Science Stack
- Advance Your Data Engineering Skills