In this course, you’ll learn how to build data pipelines using Python. These automated chains of operations performed on data will save you time and eliminate repeating tasks. By the end, you’ll know how to write a robust data pipeline with a scheduler using the versatile Python programming language.
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“The beauty of Dataquest is that it starts at the most basic level, so a true beginner can understand the concepts”
In this course, you’ll learn how to build a simple data pipeline using imperative and functional paradigms. You’ll also learn how to use functional closures in Python, how to implement a well-designed pipeline API, how to write decorators, and how to apply them to functions.
At the end of the course, you’ll work on a real-world project, using a data pipeline to summarize Hacker News data. This project is a chance for you to combine the skills you learned in this course and build a real-world data pipeline from raw data to summarization.
Writing a robust pipeline with a scheduler in PythonUsing advanced Python concepts like closures, decorators, and moreLoading lessons...
Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our course, you'll master data skills and grow your career.
We believe so strongly in our courses that we offer a full satisfaction guarantee. If you complete a career course on Dataquest and aren't satisfied with your outcome, we'll give you a refund.
Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.
Build confidence with our in-depth projects, and show off your data skills.
Work with real data from day one with interactive lessons and hands-on exercises.
Impress employers by completing a capstone project and certifying it with an expert review.
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