If you're new to DPM, then this is a great place to start!

How Do We Define Data Storytelling?

For us, data storytelling is the full lifecycle of work that needs to be done – from data sourcing, analysis and predictive modeling to narrative development, content design and production and ultimately monetization. Below, you can see how we've laid out the lifecycle and included examples of tools that you can use along the way.

You'll find resources on Data Punk Media that teach you how to do all of these. We'll show you how to do it through our online courses and monthly data stories; we'll provide design templates to short-cut your content design; we'll tell you about our favorite tools and resources; and we'll give you access to our team of experts for specific questions or needs.

Be sure to register for our upcoming 1/2 Day Virtual Workshop on Data Storytelling for Sports.

Introductory Data Storytelling Content

We're curating our top content to get you ramped on general data storytelling and a themed series focusing on sports.

Data Storytelling for Journalists & Creators

Covers the fundamentals of data storytelling for journalists and creators interested in data storytelling through data journalism.

Want to get more hands on with this topic? Check out our online course on Data Storytelling for Creators.

Data Storytelling for Sports

Covers sports-specific data storytelling from data sourcing and analysis to story construction to content creation and production across various modalities.

Want more hands on with this topic? Check out our online course on Data Storytelling for Sports.

Creating Data Stories using AI

A practical, hands-on email course that explores different ways you can use AI to create data stories across sports, entertainment and business.