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.
- 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
Skill Level Intermediate
- [Barton] Music, theater, dance, and film may not be the first things that pop to mind when you hear data science, but they can benefit just as much from the special insight of data science as, say, e-commerce or finance. I'm Barton Poulson, and in this brief course, we'll take a non-technical, conceptually-oriented look at how data science can be effectively used in the field of media and entertainment. We'll explore the ways that the principles and practices of data science can be used to help creative organizations better understand their market, efficiently set pricing, evaluate the effectiveness of their work, create meaningful interactions with their audience, shape artistic programming, protect intellectual property, and help arts organizations motivate and reward their employees.
We'll mention some of the important procedures that are used in data science, but more importantly we'll explore how those ideas are used in media and entertainment to reach broader audiences and provide richer experiences. Because this is a non-technical overview, anyone with an interest in the business of media and entertainment, regardless of their technical background, can get important ideas and insights from this course. And so let's get started with The Data Science of Media and Entertainment.
Q: This course was updated on 04/02/2018. What changed?
A: We added one video on data science careers in media and entertainment.