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Massachusetts Institute of Technology
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Tags: analytics / CART / clustering / data visualization / linear regression / logistic regression
Through inspiring examples and stories, discover the power of data and use analytics to provide an edge to your career and your life.
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.
What you’ll learn
- An applied understanding of many different analytics methods, including linear regression, logistic regression, CART, clustering, and data visualization
- How to implement all of these methods in R
- An applied understanding of mathematical optimization and how to solve optimization models in spreadsheet software
Recommended Prerequisites: Basic mathematical knowledge (at a high school level). You should be familiar with concepts like mean, standard deviation, and scatterplots. Mathematical maturity and prior experience with programming will decrease the estimated effort required for the class, but are not necessary to succeed.
Go to Content: The Analytics Edge