Big Data into Big Profits: Northwestern Executive Education Course

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Join Northwestern Executive Education Course "Big Data to Big Profits: Strategies for Monetizing Social, Mobile, and Digital Data with Data Science", Aug 25-26, in San Francisco.

Join Northwestern University’s Master of Science in Analytics for an Executive Education Course Big Data to Big Profits: Strategies for Monetizing Social, Mobile, and Digital Data with Data Science Course Dates: August 25 - 26, 2016 Location: Northwestern University San Francisco Space, 44 Montgomery St. Suite 1800, San Francisco, CA Course Instructors: Russell Walker, Ph.D. and Edward Malthouse, Ph.D. Presenter: Diego Klabjan, Ph.D. For a full program description and proposed schedule, please visit our course webpage. This course, Big Data to Big Profits: Strategies for Monetizing Social, Mobile, and Digital Data with Data Science, with professors Russell Walker and Edward Malthouse, will examine how firms can take big data to big profits through data monetization strategies and the best use of data science for growth and innovation across your organization. In this course, you will learn: How to create, measure, and manage valuable digital, social, and mobile touch points with customers Strategies for monetizing big data Opportunities for creating data products How to lead a data science team Methods to create new data for digital disruption How to manage data assets for growth and innovation Register Now Certification Upon completion of the course, attendees will earn a certificate of completion from the Master of Science in Analytics Program (MSiA), housed within Northwestern Engineering's Industrial Engineering and Management Sciences department, and will be provided special invitation status to limited-access events hosted by MSiA in the future. Learn More Discover more from course instructors Russell Walker and Edward Malthouse: Books by Russell Walker: From Big Data to Big Profits: Success with Data and Analytics Winning with Risk Management Books by Edward Malthouse: Segmentation and Lifetime Value Models Using SAS Medill on Media Engagement

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