# Data literacy guide

Practical guides to help your team analyze data confidently, communicate it clearly, and avoid common mistakes.

Data literacy is the ability to read, understand, and communicate with data. These guides cover everything from running basic analysis to spotting misleading claims and choosing the right charts — useful for any team working with numbers.

## Guides

- [**Data analysis guide**](/content/blog/how-to-analyze-data/index.html)  
  A simple process to help your team find answers and make smart decisions with data.

- [**Data visualization tips**](/content/resources/data-visualization-tips/index.html)  
  Pointers to help you choose the right charts and clearly communicate your data.

- [**Data fallacies**](/content/resources/statistical-fallacies/index.html)  
  Examples of the tricks that data can play, with a free poster for your team.

- [**Data fact checking**](/content/resources/data-claim-checklist/index.html)  
  A checklist to help your team question data-backed claims and find the facts.

- [**Data glossary**](/content/resources/data-science-glossary/index.html)  
  Straightforward explanations and examples of common data science terms.