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Linkedin - Learning Decision Intelligence

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Linkedin - Learning Decision Intelligence (Size: 238.87 MB)
  01 - Introduction
  01 - The steering wheel for your life.mp4 2.63 MB
  02 - A map of decision-making.mp4 6.21 MB
  02 - The Decision-Maker in Isolation
  01 - The most important lesson in decision-making.mp4 13.56 MB
  02 - The dangers of outcome bias.mp4 8.9 MB
  03 - Why are some decisions so difficult.mp4 15.73 MB
  04 - How to set goals.mp4 14.09 MB
  05 - Intuition and the value of clairvoyance.mp4 15.92 MB
  06 - The hackable human.mp4 17.71 MB
  07 - Decisiveness.mp4 13.19 MB
  08 - Objective decision-making.mp4 8.87 MB
  03 - Decision Intelligence
  01 - Upgrade 1 Using data and technology.mp4 9.01 MB
  02 - Upgrade 2 Better questions.mp4 11 MB
  03 - Upgrade 3 Data-driven decisions.mp4 17.25 MB
  04 - Upgrade 4 Better answers.mp4 14.9 MB
  05 - Upgrade 5 Decision automation.mp4 11.84 MB
  04 - Data-Driven Leadership
  01 - Group decisions.mp4 14.67 MB
  02 - The career-making question.mp4 10.43 MB
  03 - Building a data-driven culture.mp4 14.5 MB
  04 - Barriers to organizational decision-making.mp4 8.14 MB
  05 - Delivering value in a large organization.mp4 5.6 MB
  05 - Conclusion
  01 - Are you a good decision-maker.mp4 4.73 MB

Description


Description:

In a world driven at every level by data, what does it mean to be in—or aspire to—a position of leadership? What are the core principles you need to learn and understand at the deepest level? In this course, Google's Chief Decision Scientist Cassie Kozyrkov—one of the most high-profile data-culture evangelists in the world—lays out 18 clear and concise lessons that every business and organizational leader needs to make their team and their org thrive in a data-driven world. Learn principles for the leader's role in data, decision making in and with data, and the role of delegation and trust in data-driven decision making. Cassie also explains the four aspects of AI and machine learning and how this can affect your business. Plus, discover how to build a healthy data culture and learn some best practices—the importance of doing data work in the right order, the value of testing, harnessing the power of large data sets, and more

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