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# 數據科學生命周期
![communication](../../../translated_images/communication.06d8e2a88d30d168d661ad9f9f0a4f947ebff3719719cfdaf9ed00a406a01ead.hk.jpg)
> 圖片由 <a href="https://unsplash.com/@headwayio?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Headway</a> 提供,來自 <a href="https://unsplash.com/s/photos/communication?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Unsplash</a>
在這些課程中,你將探索數據科學生命周期的一些方面,包括數據的分析和溝通。
### 主題
1. [簡介](14-Introduction/README.md)
2. [分析](15-analyzing/README.md)
3. [溝通](16-communication/README.md)
### 致謝
這些課程由 [Jalen McGee](https://twitter.com/JalenMCG) 和 [Jasmine Greenaway](https://twitter.com/paladique) 用 ❤️ 編寫。
**免責聲明**
本文件已使用人工智能翻譯服務 [Co-op Translator](https://github.com/Azure/co-op-translator) 進行翻譯。儘管我們致力於提供準確的翻譯,但請注意,自動翻譯可能包含錯誤或不準確之處。原始語言的文件應被視為權威來源。對於重要信息,建議使用專業人工翻譯。我們對因使用此翻譯而引起的任何誤解或錯誤解釋概不負責。