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Course · Intermediate

Building a Data Pipeline

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.

  • Intermediate friendly
  • 4 hrs
  • 4 lessons
  • 1 project
  • Premium

Course overview

Build a practical Python data pipeline using imperative and functional patterns, including scheduling, decorators, and real-world workflows.

What's inside

4 lessons · 1 project

  • 01
    Functional Programming

    Learn the basics of functional programming in Python

    71 min
  • 02
    Pipeline Tasks

    Build a simple data pipeline using the functional paradigm

    74 min
  • 03
    Building a Pipeline Class

    Build a general task pipeline class.

    52 min
  • 04
    Multiple Dependency Pipeline

    Adding multiple dependencies and a scheduler to the data pipeline.

    40 min
  • 05
    Guided Project: Hacker News Pipeline Project

    For this project, we'll step into the role of data engineers to process Hacker News posts using Python. We'll apply skills in JSON parsing, string cleaning, and building data pipelines.

    10 min

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Build your project portfolio

Build confidence with our in-depth projects, and show off your data skills.

Challenge yourself with exercises

Challenge yourself with exercises

Work with real data from day one with interactive lessons and hands-on exercises.

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Aaron Melton
Aaron Melton
Business Analyst at Aditi Consulting

Dataquest starts at the most basic level, so a beginner can understand the concepts. I tried learning to code before, using Codecademy and Coursera. I struggled because I had no background in coding, and I was spending a lot of time Googling. Dataquest helped me actually learn.

Jessica Ko
Jessica Ko
Machine Learning Engineer at Twitter

I liked the interactive environment on Dataquest. The material was clear and well organized. I spent more time practicing then watching videos and it made me want to keep learning.

Victoria E. Guzik
Victoria E. Guzik
Associate Data Scientist at Callisto Media

I really love learning on Dataquest. I looked into a couple of other options and I found that they were much too handhold-y and fill in the blank relative to Dataquest's method. The projects on Dataquest were key to getting my job. I doubled my income!

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  1. 1

    Create a free account

  2. 2

    Choose a learning path

  3. 3

    Complete exercises and projects

  4. 4

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