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30 lines
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"source_file": "4-Data-Science-Lifecycle/README.md",
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# The Data Science Lifecycle
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> 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>
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In these lessons, you'll dive into various aspects of the Data Science lifecycle, including data analysis and effective communication.
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### Topics
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1. [Introduction](14-Introduction/README.md)
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2. [Analyzing](15-analyzing/README.md)
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3. [Communication](16-communication/README.md)
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### Credits
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These lessons were created with ❤️ by [Jalen McGee](https://twitter.com/JalenMCG) and [Jasmine Greenaway](https://twitter.com/paladique)
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---
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**Disclaimer**:
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This document has been translated using the AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). While we aim for accuracy, please note that automated translations may include errors or inaccuracies. The original document in its native language should be regarded as the authoritative source. For critical information, professional human translation is advised. We are not responsible for any misunderstandings or misinterpretations resulting from the use of this translation. |