As you begin to frame your decisions, it's important to organize the problem in a manner that allows for the proper examination of solutions and their varying impacts. At this point, you can begin to incorporate the use of decision trees to meet that goal. What are the various kinds of decisions you can make? How is the impact of each decision path weighted and differently valued? Constructing decision trees will provide you with some answers to these questions.

In this course, you will explore the aspects of decision trees and when to best incorporate them into your decision analysis. You will map how performance measures may influence different sequences and outcomes. You will calculate risk profiles, develop modeling measures, and decide on the proper usage of decision trees in discrete choice situations.

While decision trees are commonly and widely used, they won't always be the right approach; you will explore in detail why that is and when it can make the most sense in given situations.

 

How It Works

Course Length
2 weeks

Effort
3 to 5 hours of study per week

Format
100% online, instructor-led
  • Engineers in any field, including mechanical, electrical, civil, and environmental
  • Aspiring data scientists, data analysts, and market analysts
  • Anyone who needs to make highly consequential decisions or inform solutions in the face of uncertainty or multiple and conflicting objectives
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