The Analytics Edge

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.


Course Objectives:

  • 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 Background

  • Recommended for individuals currently working as a business data analyst or for individuals working towards developing a practical industry oriented knowledge of the same.
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Course ID

ED047

Skill Focus

Smart Technology

Instructor(s)

MIT

Employee Type

New Applicants, Leadership, Change leaders

Method of Delivery

Digital

Estimated Effort

200 hrs

Cost

Audit Free


Certification is paid for $ 199.00 ; Full financial aid available for certification