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371xbt|
Find a path to becoming a Decision Modeling. Learn more at:
OpenCourser.com/topic/371xbt/decision
Reading list
We've selected 11 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Decision Modeling.
Provides a comprehensive overview of Bayesian decision analysis, a powerful tool for making decisions under uncertainty. It valuable resource for anyone who wants to learn more about this topic.
Provides a practical guide to using decision modeling to solve business problems. It valuable resource for anyone who wants to learn how to use decision modeling to improve their business.
Provides a comprehensive overview of the role of risk and uncertainty in decision making. It valuable resource for anyone who wants to learn more about this topic.
Provides a comprehensive overview of decision modeling and evaluation in the context of sustainable development. It valuable resource for anyone who wants to learn about using decision modeling to promote sustainability.
Provides a practical guide to using decision modeling for data scientists. It valuable resource for anyone who wants to learn how to use decision modeling to make better data-driven decisions.
Provides a practical guide to making decisions in the real world. It valuable resource for anyone who wants to learn how to make better decisions.
Provides a practical guide to decision making for managers. It valuable resource for anyone who wants to learn how to make better decisions.
Provides a step-by-step guide to using Microsoft Excel to build decision models. It valuable resource for anyone who wants to learn how to use decision modeling to solve real-world problems.
Provides a philosophical look at the art of decision making. It valuable resource for anyone who wants to learn more about the process of making decisions.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/371xbt/decision
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