Massachusetts Institute of Technology is offering free online course on Analytics Edge. In this course, students will learn how to use data and analytics to give an edge to your career and your life.
Through inspiring examples and stories, discover the power of data and use analytics to provide an edge to your career and your life. This course will start on June 6, 2017.
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Course At A Glance
Length: 12 weeks
Effort: 10-15 hours pw
Subject: Data Analysis & Statistics
Institution: Massachusetts Institute of Technology and edx
Certificate Available: Yes, Add a Verified Certificate for $99
Session: Course Starts on June 6, 2017
Massachusetts Institute of Technology — a coeducational, privately endowed research university founded in 1861 — is dedicated to advancing knowledge and educating students in science, technology, and other areas of scholarship that will best serve the nation and the world in the 21st century.
About This 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.
Why Take This Course?
- 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
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.
Basic mathematical knowledge (at a high school level). You should be familiar with concepts like mean, standard deviation, and scatter plots. Mathematical maturity and prior experience with programming will decrease the estimated effort required for the class, but are not necessary to succeed.
How To Join This Course
- Go to the course website link
- Create an edX account to SignUp
- Choose “Register Now” to get started.
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