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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: March 23 - 24, 2017
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, led by 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
Special alumni rates are available to all students, graduates, and family members of graduates of Northwestern University. Email russell-walker@kellogg.northwestern.edu for details.
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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.
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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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fastcore: An Underrated Python Library
Goodhart’s Law for Data Science and what happens when a measure becomes a target?