Improve your data literacy skills. Make better decisions.

Data literacy: n. the ability to get meaningful information from data.

Data literacy may sound intimidating - we hear you, but it doesn’t have to be. We've created this hub of practical data resources to explain techniques and terms you can easily incorporate into your work to help you make data-backed decisions with confidence.

Data Science Terms Explained

Are you tired of unnecessary jargon and buzzwords in data science and analytics? So are we. Here’s a glossary of the most relevant data terms with straightforward definitions, helpful examples, and additional resources if you want to dive deeper.

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Data Science Terms Explained

Common Data Mistakes to Avoid

Statistical fallacies are common tricks data can play on you, which lead to mistakes in data analysis. Learn what these fallacies are (along with real-life examples) and how you can avoid them when analyzing data.

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Common Data Mistakes to Avoid

A Guide to Basic Data Analysis

Trying to find the cause of a problem in your business? Data can help, but sometimes knowing how to explore and interpret it can be intimidating. We've put together this no nonsense data analysis guide to walk you through a simple process so you can confidently use data to find answers and make smart decisions.

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A Guide to Basic Data Analysis

A Checklist to Verify Data-backed Claims

Every single day we're bombarded with "data-backed" claims. But just because someone cites a statistic doesn’t make their claim true. That’s why we put together a list of questions to help you easily fact check claims and validate the numbers.

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A Checklist to Verify Data-backed Claims