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Published on May 29, 2018
A comprehensive introduction to probability as a language and a set of tools for understanding statistics, science, risk, and randomness.
The world is replete with randomness and uncertainty; probability and statistics extends logic into this realm. In this course, you will learn the ideas and tools needed to understand data, science, philosophy, engineering, economics, finance. You will come to understand both the measurable outcomes of challenging technical problems, but also how you can use these these applications in everyday life.
With examples ranging from gambling to genetics, this course will provide a strong foundation for the study of statistical inference, stochastic processes, randomized algorithms, and other subjects where probability is needed.