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Courses

Build data practices that are trustworthy, transparent, and future-ready.

Most organizations already know something in their data ecosystem is… off. The dashboard no one trusts. The survey that seemed like a good idea at the time. The metric that refuses to behave. Our courses don’t promise magic—they give you the actual levers, decision points, and “oh, THAT’S why” moments to fix what matters. Practical tools, real examples, and a framework you can reuse long after the training ends.

Essential Courses

We All Count offers three essential live trainings taught exclusively by founder Heather Krause. These courses are in high demand and are the absolute best way to get started working with this framework. We train teams and organizations privately, and are committed to running a limited number of public trainings every year that any individual can attend.

Decorative image of a stack of stones with the text: The Data Equity Primer

Data Equity Primer

A fast, focused introduction to the Data Equity Framework. See where unintentional bias can sneak in, and learn practical language for talking about it with your team. It’s the perfect starting point.

Decorative image of a stone wall with the text: Foundations of Data Equity

Foundations of Data Equity

Our flagship course takes you all the way through the Data Equity Framework. Learn concrete ways to spot equity risks and build data products that hold up. It’s practical and designed for people who need accurate, rigorous, equitable data products.

Decorative image of a stone wall with the text: Advancing the Data Equity Framework

Advancing the Data Equity Framework

Our most in-depth and advanced course teaches you how to apply the Data Equity Framework through live scenarios, new tools, and building solutions that retain their integrity. It’s collaborative and designed for practitioners.

illustration of two people engaged in coaching session

Coaching

After training, coaching is where the Framework meets your actual data and decisions. We work with you to apply Data Equity tools to your real projects, metrics, and organizational choices using a proven structure of four flexible session types. Sessions are customized to your context and focused on producing concrete outputs.

See How It Works