You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
17 lines
778 B
17 lines
778 B
# The Data Science Lifecycle
|
|
|
|
|
|
> Photo by <a href="https://unsplash.com/@headwayio?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Headway</a> on <a href="https://unsplash.com/s/photos/communication?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Unsplash</a>
|
|
|
|
In these lessons, you'll explore some of the aspects of the Data Science lifecycle, including analysis and communication around data.
|
|
|
|
### Topics
|
|
|
|
1. [Introduction](14-Introduction/README.md)
|
|
2. [Analyzing](15-analyzing/README.md)
|
|
3. [Communication](16-communication/README.md)
|
|
|
|
### Credits
|
|
|
|
These lessons were written with ❤️ by [Jalen McGee](https://twitter.com/JalenMCG) and [Jasmine Greenaway](https://twitter.com/paladique)
|