This course gives you easy access to the invaluable learning techniques used by experts in art, music, literature, math, science, sports, and many other disciplines.
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The ultimate goal of this course is to use such industries effectively and towards a better society.Ĭourse Instructors: Professor Robert ShillerĦ) Learning How to Learn: Powerful mental tools to help you master tough subjects Introduction to risk management and behavioral finance principles to understand the real-world functioning of securities, insurance, and banking industries. Description of practices today and analysis of prospects for the future. Emphasis on financially-savvy leadership skills. You will be able to watch regular situation reports about the state of the epidemic, provided by the researchers of J-IDEA and its director Professor Neil Ferguson.Ĭourse Offered By: Imperial College LondonĬourse Instructors: Helen Ward Professor of Public Health, Oliver Geffen Obregon Epidemiology Teaching Fellow, Katharina Hauck Deputy Director of J-IDEA and Reader in Health EconomicĪn overview of the ideas, methods, and institutions that permit human society to manage risks and foster enterprise. On this course, you will hear directly from our world-class experts about the theory behind the analyses of COVID-19 and its spread, while learning how to interpret new information using core principles of public health, epidemiology, medicine, health economics, and social science. As the epidemic spreads, people around the world want to understand the science behind the most pressing questions: how many people have been infected? How dangerous is the virus? When will a vaccine be available? How can the epidemic be contained, and the damages mitigated? What is the economic impact? What’s the role of social media and local communities in the epidemic response? The outbreak of the Novel Coronavirus Disease (COVID-19) is the most significant public health emergency of the 21st century so far.
Part II focuses on graph- and string-processing algorithms.Ĭourse Offered By: Princeton University, USAĬourse Instructors: Senior Lecturer Kevin Wayne and Professor Robert SedgewickĤ) Science Matters: Let’s Talk About COVID-19 Part I covers elementary data structures, sorting, and searching algorithms. This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. of enrolled Students: 3,056,321 already enrolled
Finally, you’ll learn about some of Silicon Valley’s best practices in innovation as it pertains to machine learning and AI.Ĭourse Offered By: Stanford University, USAĬourse Instructors: Andrew Ng is Co-founder of Coursera and an Adjunct Professor of Computer Science at Stanford University More importantly, you’ll learn about not only the theoretical underpinnings of learning but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. Many researchers also think it is the best way to make progress towards human-level AI. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is the science of getting computers to act without being explicitly programmed. You will ultimately be prepared to successfully incorporate a specific wellness activity into your life.Ĭourse Instructors: Laurie Santos, Professor
As preparation for these tasks, Professor Laurie Santos reveals misconceptions about happiness, annoying features of the mind that lead us to think the way we do, and the research that can help us change.
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In this course, you will engage in a series of challenges designed to increase your own happiness and build more productive habits.
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