# Introduction to Data Science

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In these lessons, you will discover how Data Science is defined and learn about ethical considerations that must be considered by a data scientist. You will also learn how data is defined and learn a bit about statistics and probability, the core academic domains of Data Science.

### Topics

1. [Defining Data Science](01-defining-data-science/README.md)
2. [Data Science Ethics](02-ethics/README.md)
3. [Defining Data](03-defining-data/README.md)
4. [Introduction to Statistics and Probability](04-stats-and-probability/README.md)

### Credits

These lessons were written with ❤️ by [Nitya Narasimhan](https://twitter.com/nitya) and [Dmitry Soshnikov](https://twitter.com/shwars).

## What Comes Next

- Continue to [../2-Working-With-Data/README.md](../2-Working-With-Data/README.md) once the definitions, ethics, and statistics basics feel clear.
- Return to [../README.md](../README.md) if you want the broader imported-course roadmap.
