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Data Punk Media

We teach you the full data storytelling lifecycle — sourcing, analysis, narrative, and publishing — then show you how to turn that craft into a sustainable content business.

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Can Mercedes Finally Break the Zandvoort Curse?

In this week's Within the Numbers post, we explore whether Mercedes can finally break the "Zandvoort Curse".

Analyzing MMA Data: The Signal vs the Noise

In this lesson, we explore "signal" versus "noise" when it comes to MMA data.

Ready to Start Your Content Business, but not Sure What to do First?

Are you ready to start your own content business, but not sure where to start? Take the You, Inc. self-assessment today to discover where you're strong and where you're challenged.

Using Logistic Regression for Predictions in Data Storytelling

In this lesson, we explore how you can use the logistic regression model to predict outcomes and include these within your data storytelling projects.

Learn How to Use AI in your Data Storytelling | Register Today!

We're hosting a new workshop this coming Thursday, 08/13/26 at 6PM EST to explore how to design content using AI for data storytelling.

How to Build Your Content Business From Scratch: You, Inc. for Creators

Want to know how to get your content business up and running? We walk through six dimensions to help guide you from content idea to full-fledged content business.

What Does this MMA Stat Actually Measure?

In this lesson, we explore what MMA statistics are available and what they actually measure (and don't measure).

AI-Powered Content Design for Data Storytelling | Register Today!

We're hosting a new workshop this coming Thursday, 08/13/26 at 6PM EST to explore how to design content using AI for data storytelling.

Where Does MMA Data Actually Come From?

This first lesson in Module 7 continues to explore the world of MMA by discussing common sources of MMA data and how to build a complete picture of a fighter across them.

Finding the Top Snipers using K-means Clustering

In this lesson, we explore kmeans clustering, and how you can use it to identify top athletes across a sample.

How Did Drive Score Version 9.0 Perform in Belgium?

In this week's review of the DPM Drive Score (our predictive model for F1 races), we discover that by evolving the model we were able to predict 88% of the driver placements.