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31 lines
1.9 KiB
31 lines
1.9 KiB
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# Working with Data
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> 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>
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In these lessons, you will explore various methods for managing, manipulating, and utilizing data in applications. You'll dive into relational and non-relational databases and learn how data is stored within them. Additionally, you'll gain foundational knowledge of using Python to handle data and uncover numerous ways to leverage Python for data management and analysis.
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### Topics
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1. [Relational databases](05-relational-databases/README.md)
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2. [Non-relational databases](06-non-relational/README.md)
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3. [Working with Python](07-python/README.md)
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4. [Preparing data](08-data-preparation/README.md)
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### Credits
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These lessons were created with ❤️ by [Christopher Harrison](https://twitter.com/geektrainer), [Dmitry Soshnikov](https://twitter.com/shwars), 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 strive for accuracy, please note that automated translations may contain errors or inaccuracies. The original document in its native language should be regarded as the authoritative source. For critical information, professional human translation is recommended. We are not responsible for any misunderstandings or misinterpretations resulting from the use of this translation. |