Data Engineering Courses

Learn the skills you'll need to become a data engineer in our start-to-finish sequence of interactive data engineering courses!

Why take a data engineering course?

First, you might want to become a data engineer! Working in data engineering is a challenging and satisfying career that pays, on average, more than $135,000/year as of 2021.

But even if you don't aspire to work as a data engineer, data engineering skills are the backbone of data analysis and data science. Learning about Postgres, being able to build data pipelines, and understanding how to optimize systems and algorithms for large volumes of data are all skills that'll make working with data easier in any career.

Read more about why everyone should learn data engineering, or keep scrolling to find out what you'll learn in our data engineering courses!

What skills do data engineers need?

While the skill stack required for data engineering jobs can vary a lot by industry and company, some of the most important skills are:

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  • Python programminglisted in 74% of open Data Engineer jobs
  • SQL databases listed in 72% of open Data Engineer jobs
  • Building data pipelines listed in 64% of open Data Engineer jobs

The numbers above are from data for US-based jobs with "Data Engineer" in the title, as of April 6, 2021.

  • What's Covered?

  • who needs data engineering skills?

  • Why Dataquest?

  • FAQ

What's Covered in Our Data Engineering Courses?

Learn how to build data pipelines to work with large data sets.

This path will teach you how to use Python and pandas to work with large data sets, and load and pipe data through a Postgres database. 

In this path, you'll learn how to optimize processes for big data, build data pipelines, and more!

  • Python
  • SQL
  • Algorithms and Data Structures
  • Building Data Pipelines
  • Postgres for Data Engineering
  • Optimizing for Large Data Sets
  • Recursion and Trees
  • And more!

Don't worry if you don't know what any of that means yet. You can start our step-by-step sequence of data engineering courses as a total beginner — no coding experience required!

Through it all, you'll be writing real code and analyzing real data. And at the end of the course, you'll complete your first real data engineering project using your new skills!

What do learners say about our courses?


recommend Dataquest for career improvement

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say learning with Dataquest has improved their lives


total missions completed by Dataquest learners

For more on what our learners think of Dataquest, check out our student outcomes.

Our Data Engineering Course Sequence

This is what you'll learn in our Data Engineering career path!

Python Fundamentals

Learn about the fundamentals of Python programming in the context of data engineering.

Python Intermediate

Learn important tools for your Python data toolbox.

Programming Concepts with Python

Enhance your understanding of how Python works.

Algorithm Complexity

Learn how to assess and implement efficient algorithms with Python.

SQL Fundamentals

Learn the basics of working with SQL databases.

Intermediate SQL for Data Analysis

Learn to work with multi-table databases.

Postgres for Data Engineers

Learn about the SQL database Postgres.

Optimizing Postgres Databases

Learn how to optimize your Postgres databases.

NumPy for Data Engineers

Learn how NumPy can be used to optimize your data processing.

Processing Large Datasets in Pandas

Learn how to work with datasets by optimizing your pandas workflow, processing data in batches, and augmenting pandas with SQLite.

Parallel Processing

Learn parallel processing and MapReduce.

Data Structures Fundamentals

Learn the fundamentals of data structures — Linked Lists, Queues, Stacks and Dictionaries, etc.

Recursion and Trees

Learn about recursion and how it applies to tree data structures, and how tree data structures are used to speed up processing of data analysis tasks.

Building a Data Pipeline

Learn how to build a Python data pipeline from scratch.