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Course Description

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data analysis Awards Best Advanced Course

In the last decade, the amount of data available to organizations has reached unprecedented levels. Data is transforming business, social interactions, and the future of our society. In this course, you will learn how to use data and analytics to give an edge to your career and your life. We will examine real world examples of how analytics have been used to significantly improve a business or industry. These examples include Moneyball, eHarmony, the Framingham Heart Study, Twitter, IBM Watson, and Netflix. Through these examples and many more, we will teach you the following analytics methods: linear regression, logistic regression, trees, text analytics, clustering, visualization, and optimization. We will be using the statistical software R to build models and work with data. The contents of this course are essentially the same as those of the corresponding MIT class (The Analytics Edge). It is a challenging class, but it will enable you to apply analytics to real-world applications.The class will consist of lecture videos, which are broken into small pieces, usually between 4 and 8 minutes each. After each lecture piece, we will ask you a "quick question" to assess your understanding of the material. There will also be a recitation, in which one of the teaching assistants will go over the methods introduced with a new example and data set. Each week will have a homework assignment that involves working in R or LibreOffice with various data sets. (R is a free statistical and computing software environment we'll use in the course. See the Software FAQ below for more info). At the end of the class there will be a final exam, which will be similar to the homework assignments.

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Instructor Details

Dimitris Bertsimas

Dimitris Bertsimas is currently the Boeing Professor of Operations Research and a Co-Director of the Operations Research Center at MIT. He received his PhD in Applied Mathematics and Operations Research at MIT in 1988, and then joined the MIT faculty. His research interests include analytics and the applications of analytics in a variety of industries, including healthcare, finance, operations management and aviation. He is a member of the National Academy of Engineering, and he has received numerous research awards. Professor Bertsimas created the course 15.071 at MIT in 2008, and is currently working on an analytics textbook with colleagues Allison O’Hair and Bill Pulleyblank.

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