Data Analysis and Databases – Telegram
Data Analysis and Databases
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282 files
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Learn how to analyze data effectively and manage databases with ease.

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10. Revisiting Data Types.zip
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10. Revisiting Data Types
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11. The Power of Logical Operators.zip
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11. The Power of Logical Operators
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12. Section 12 One To Many.zip
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13. Section 13 Many To Many.zip
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14. Instagram Database Clone.zip
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15. Working With Lots Of Instagram Data.zip
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11. The Power of Logical Operators.zip
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12. Section 12 One To Many.zip
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13. Section 13 Many To Many.zip
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14. Instagram Database Clone.zip
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15. Working With Lots Of Instagram Data.zip
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16. Section 16 - Introducing Node.zip
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16. Section 16 - Introducing Node
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17. Section 17 - Building Our Web App.zip
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18. Section 18 - Database Triggers.zip
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18. Section 18 - Database Triggers
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🔰📖 Python Libraries for Data Analytic
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📖 The SQL Circle
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Skills for Data Scientists 👆
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📖 Top Languages For Data Analysts
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🔅 ETL in Python and SQL

🌐 Author: Jennifer Ebe
🔰 Level: Intermediate

Duration: 1h 20m

🌀 Gain the knowledge you need to build data pipelines in a data-driven world.


📗 Topics: SQL, Extract, Transform, Load, Python

📤 Join Data Analysis for more courses
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📂 Full denoscription

Data is increasing exponentially as the world continues to generate an immense amount. In this course, a data engineer with over 5 years of experience, Jennifer Ebe, will show you how to build systems that gather data from various sources, transform it and store data so you can derive insights from it effectively. We will go over what ETLs are and how you create them. We will learn how to use Python to extract and transform data, we will explore our data using pandas and SQL. And finally, load data into our target system. You will also get practice scheduling ETL jobs using Python. Each chapter comes with helpful, hands-on challenges to help you practice what you learn.
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