Improve Your Data Literacy Skills and Make the Most of Data

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

Data science and statistics can be intimidating, but they don’t have to be. We've put together this hub of practical resources to equip and inspire you to use data in work and your everyday life. Browse our current articles and projects, and stay tuned for more data science advice.

Tips for effective data visualization

Learn how to improve your charts to shed light on your data and get the right message across. From making everything simpler to avoiding common design pitfalls, here are some tips to help you play your charts right.

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Tips for effective data visualization

Common Data Mistakes to Avoid

Statistical fallacies are common tricks data can play on you, which lead to mistakes in data interpretation and analysis. Explore some common fallacies, with real-life examples, and find out how you can avoid them.

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Common Data Mistakes to Avoid

A Checklist to Verify Data-backed Claims

Every single day we're bombarded with "data-backed" claims. But just because someone cites a statistic or presents a chart doesn’t mean they’re telling the truth. Here’s 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

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 interpret and explore it can be intimidating. Here’s a simple process so you can use data confidently, find answers and make smart decisions.

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A Guide to Basic Data Analysis

Data Science Terms Explained

Does complex terminology put you off using data? Here’s a glossary of common data science terms with straightforward definitions, helpful examples, and additional resources if you want to dive deeper.

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Data Science Terms Explained