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The Data Science of Media and Entertainment with Barton Poulson

The Data Science of Media and Entertainment with Barton Poulson

56mGeneral2018-04-02

Authors

Barton Poulson

Barton Poulson

Professor, Designer, Data Analytics Expert

Course details

Music, theater, dance, and film may not seem like data-driven businesses, but they can benefit from data science just as much as ecommerce or finance. Join data science professor, researcher, and consultant Barton Poulson as he explores the fascinating ways in which the media and entertainment industries around us are affected—and have been substantially changed—by ubiquitous data and the science of data and analytics.

This course is a nontechnical overview that helps creative organizations use the principles of data science in practical ways. It's required viewing for those working in media, but is also appealing to anyone interested in how technology affects the world around us. Learn how to use data science to assess your target audience, optimize pricing and scheduling for events and digital products, identify piracy, protect your intellectual property, reward employees, and maximize your ROI. Incorporating some simple analytics can lead to broader audiences and richer experiences for your next creative endeavor.

Learning objectives
Assessing the audience for performing art and live digital media
Optimizing prices for products and performances
Splitting limited time, money, and staffing among different outreach and sales efforts
Honoring the requirements of government grants and private donors
Maximizing the social nature of live events like concerts and performances
Using competitive and predictive analytics to schedule performances for greatest audience reach and potential revenue
Understanding how data science can identify piracy and reduce lost revenue
Incentivizing and rewarding staff and performers without incurring additional costs

Skills covered

Data Science FoundationsCareer ManagementCareer DevelopmentData ScienceOne-Off

Concepts

0. Introduction

  • 01 - Welcome

1. Applying Data Science

  • 02 - Audience analytics
  • 03 - Pricing algorithms
  • 04 - Optimizing resource allocation
  • 05 - Evaluation and accountability
  • 06 - Managing digital and live interactions
  • 07 - Performing arts programming
  • 08 - Using data science to protect intellectual property
  • 09 - Optimizing nonfinancial incentives

Conclusion

  • 10 - Next steps
  • 11 - Careers

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