Data Science
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555 photos
3 videos
294 files
129 links
Learn how to analyze data effectively and manage databases with ease.

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10. Revisiting Data Types.zip
136.1 MB
10. Revisiting Data Types
11. The Power of Logical Operators.zip
167.9 MB
11. The Power of Logical Operators
12. Section 12 One To Many.zip
225.8 MB
12. Section 12 One To Many
13. Section 13 Many To Many.zip
137.6 MB
13. Section 13 Many To Many
14. Instagram Database Clone.zip
124.6 MB
14. Instagram Database Clone
15. Working With Lots Of Instagram Data.zip
146 MB
15. Working With Lots Of Instagram Data
11. The Power of Logical Operators.zip
167.9 MB
11. The Power of Logical Operators
12. Section 12 One To Many.zip
225.8 MB
12. Section 12 One To Many
13. Section 13 Many To Many.zip
137.6 MB
13. Section 13 Many To Many
14. Instagram Database Clone.zip
124.6 MB
14. Instagram Database Clone
15. Working With Lots Of Instagram Data.zip
146 MB
15. Working With Lots Of Instagram Data
16. Section 16 - Introducing Node.zip
214.6 MB
16. Section 16 - Introducing Node
17. Section 17 - Building Our Web App.zip
193.1 MB
17. Section 17 - Building Our Web App
18. Section 18 - Database Triggers.zip
99.5 MB
18. Section 18 - Database Triggers
🔰📖 Python Libraries for Data Analytic
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📖 The SQL Circle
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Skills for Data Scientists 👆
📖 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 description

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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