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QST MK 842 - Machine Learning for Business Analytics
This course introduces students to machine learning techniques that can be used to analyze business data. Through a series of lectures and projects, students will learn about modern machine learning algorithms, how to use these algorithms in the R programming language, derive actionable insights from data, and effectively communicate their findings to a business audience. The goal of the course is to bridge the gap between managers and data-scientists by creating an understanding of modern analytics methods, and the types of business problems to which they can be applied. No prior programming skill are required. The course was previously offered under the title "Digital Marketing Analytics," but does not overlap with MK876; students may take both courses for credit.

[ 3 cr.]

Grad Prereq: MK713/723/724
1 section scheduled for Spring 2019
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