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.
From January 2015, she started to practice leetcode questions; she trains herself to stay focus, develops "muscle" memory when she practices those questions one by one. 2015年初, Julia开始参与做Leetcode, 开通自己第一个博客. 刷Leet code的题目, 她看了很多的代码, 每个人那学一点, 也开通Github, 发表自己的代码, 尝试写自己的一些体会. She learns from her favorite sports – tennis, 10,000 serves practice builds up good memory for a great serve. Just keep going. Hard work beats talent when talent fails to work hard.
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