# Working with Data

![data love](images/data-love.jpg)
> Photo by <a href="https://unsplash.com/@swimstaralex?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Alexander Sinn</a> on <a href="https://unsplash.com/s/photos/data?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Unsplash</a>
  
In these lessons, you will learn some of the ways that data can be managed, manipulated, and used in applications. You will learn about relational and non-relational databases and how data can be stored in them. You'll learn the fundamentals of working with Python to manage data, and you'll discover some of the many ways that you can work with Python to manage and mine data. 
### Topics

1. [Relational databases](05-relational-databases/README.md)
2. [Non-relational databases](06-non-relational/README.md)
3. [Working with Python](07-python/README.md)
4. [Preparing data](08-data-preparation/README.md)

### Credits

These lessons were written with ❤️ by [Christopher Harrison](https://twitter.com/geektrainer), [Dmitry Soshnikov](https://twitter.com/shwars) and [Jasmine Greenaway](https://twitter.com/paladique)

## What Comes Next

- Continue to [../3-Data-Visualization/README.md](../3-Data-Visualization/README.md) once you are comfortable querying, loading, and preparing data.
- Return to [../README.md](../README.md) if you want the imported-course overview again.
