Media & Entertainment
How the media and entertainment business works, and the finance, marketing, data and AI that run it.
Media monetizes attention through content, advertising and subscriptions, disrupted repeatedly by streaming, platforms and creators. This vertical gives you the big picture, then finance, marketing, data and AI applied inside it.
Key terms
Why specialize in Media & Entertainment?
Cross-cutting skills are not enough in the Media & Entertainment sector. It plays by its own rules: a distinct value chain, specific players and balance of power, dense regulation, and key figures you won't find anywhere else. This vertical gives you that sector fluency — first the big picture, then finance, marketing, data and AI applied concretely to Media & Entertainment, with the calculations, benchmarks and checklists you actually need on the ground.
What you'll be able to do
- Understand how the Media & Entertainment sector works: value chain, key players and balance of power
- Know the major regulations and laws, the sector's acronyms and vocabulary
- Run the key calculations and read the benchmarks specific to Media & Entertainment (US and Europe markets)
- Apply finance, marketing, data and AI to the realities of Media & Entertainment
- Gauge your level with 5 sector assessments and a competency radar
70 lessons across 16 modules and 5 blocks, with a test per lens and a sector competency radar. Free to read — no account required.
Curriculum
Media & Entertainment: how the sector works
Generalhow media and entertainment work: monetizing attention, the content-and-rights value chain, subscription vs advertising, and the platform/creator disruption.
4 Modules · 18 Lessons
Finance in media
Financemedia finance: content as an investment with uncertain returns, subscription vs ad revenue, churn economics, and library/IP value.
3 Modules · 13 Lessons
Marketing in media
Marketingmedia marketing: audience acquisition and retention, windowing and release strategy, franchises and fandom, and monetizing engagement.
3 Modules · 13 Lessons
Data in media
Datamedia data: engagement and consumption data, recommendation and content analytics, ad targeting and measurement, and privacy.
3 Modules · 13 Lessons
AI in media
AIAI in media: recommendation, content creation and localization, ad optimization, and the rights/authenticity questions AI raises.
3 Modules · 13 Lessons