Skip to main content
Learn

Data Engineering Courses

Learn how to design and create the data infrastructure businesses need to scale and master one of the most lucrative skills worldwide. Launch a career in data engineering and help shape the bedrock of data science, creating efficient systems to harness the world’s ever-increasing masses of raw data. 

  • Learn at your own pace
  • Practice coding straight away
  • Train for an exciting new career

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA. You confirm you are at least 16 years old (13 if you are an authorized Classrooms user).

LOVED BY LEARNERS AT THOUSANDS OF COMPANIES

The Best Data Engineering Courses

   

Taught by the experts in the creation and management of data systems, DataCamp’s online data engineering courses give you the real-world skills you need to wrestle with big data and win.

Data isn’t a mere byproduct, it’s core to what a business does and drives organizational direction. Proprietary data means strategic advantage, as long as there’s functional data architecture in place. No wonder demand for data engineers is so high with a 40% year-on-year growth in the number of open positions.

Explore Big Data Fundamentals with PySpark, become a Data Engineer with Python, or pick up a new skill in Introduction to Scala, a handy (and scalable) data infrastructure language.

Data Engineer standing in front of servers.

Data Engineering Courses for Beginners

Build a strong theoretical foundation by reviewing the key concepts of data engineering with our online Data Engineering for Everyone course. 

Then, take what you’ve learned and start applying your knowledge in Introduction to Data Engineering, a short course that’s designed to give you a practical overview of the techniques and tools used to wrangle and streamline information from multiple data sources. If you'd like to take your learning in a different direction, take a look at the options below and enrol today.

Theory

Data Engineering for Everyone

Discover how data engineers lay the groundwork that makes data science possible. No coding involved!

Clock2 hours
Hadrien Lacroix Headshot

Hadrien Lacroix

Curriculum Manager at DataCamp

Python

Introduction to Data Engineering

Learn about the world of data engineering with an overview of all its relevant topics and tools!

Clock4 hours
Vincent Vankrunkelsven Headshot

Vincent Vankrunkelsven

Data and Software Engineer @DataCamp

SQL

Database Design

Learn to design databases in SQL.

Clock4 hours
Lis Sulmont Headshot

Lis Sulmont

Workspace Architect at DataCamp

Python

Introduction to Airflow in Python

Learn how to implement and schedule data engineering workflows.

Clock4 hours
Mike Metzger Headshot

Mike Metzger

Data Engineer Consultant @ Flexible Creations

Python

ETL in Python

Leverage your Python and SQL knowledge to create a pipeline ingesting, transforming and loading data into a database.

Clock4 hours
Stefano Francavilla Headshot

Stefano Francavilla

Stefano is the CEO and co-founder of Geowox.

Python

Building Data Engineering Pipelines in Python

Learn how to build data engineering pipelines in Python.

Clock4 hours
Kai Zhang Headshot

Kai Zhang

Data Engineer at Data Minded

Theory

AWS Cloud Concepts

Learn the fundamentals of cloud computing with AWS.

Clock2 hours
Hatim Khouzaimi Headshot

Hatim Khouzaimi

Senior Data Scientist holding a PhD in Machine Learning.

SQL

NoSQL Concepts

In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.

Clock2 hours
Miriam Antona Headshot

Miriam Antona

Software Engineer

Theory

Streaming Data with AWS Kinesis and Lambda

Learn how to work with streaming data using serverless technologies on AWS.

Clock4 hours
Maksim Pecherskiy  Headshot

Maksim Pecherskiy

Data Engineer

Theory

Streaming Concepts

Learn about the difference between batching and streaming, scaling streaming systems, and real-world applications.

Clock2 hours
Mike Metzger  Headshot

Mike Metzger

Data Engineer Consultant @ Flexible Creations

Data Engineering Courses with Python

Python is powerful, flexible, and perfectly suited to data engineering. DataCamp’s data engineering courses with Python teach you the skills you need to get started, while our skill and career tracks offer in-depth learning to build the confidence you need to use your Python knowledge in the workplace.

Learn how to extract unstructured data from various sources and transform it into a usable resource with DataCamp’s ELT in Python. Or, take a deep dive into the data lake and unearth depths of potential (both yours and the data’s) with Building Data Engineering Pipelines in Python.

Python

Joining Data with pandas

Learn to combine data from multiple tables by joining data together using pandas.

Clock4 hours
Aaren Stubberfield Headshot

Aaren Stubberfield

Manager, Supply Chain Analytics @ Ingredion Incorporated

Python

Cleaning Data in Python

Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!

Clock4 hours
Adel Nehme  Headshot

Adel Nehme

Content Developer @ DataCamp

Python

Writing Efficient Python Code

Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.

Clock4 hours
Logan Thomas  Headshot

Logan Thomas

Scientific Software Technical Trainer, Enthought

Python

Writing Functions in Python

Learn to use best practices to write maintainable, reusable, complex functions with good documentation.

Clock4 hours
Shayne Miel  Headshot

Shayne Miel

Director of Software Engineering @ American Efficient

Python

Object-Oriented Programming in Python

Dive in and learn how to create classes and leverage inheritance and polymorphism to reuse and optimize code.

Clock4 hours
Alex Yarosh  Headshot

Alex Yarosh

Curriculum Developer @ Cockroach Labs

Python

Building Data Engineering Pipelines in Python

Learn how to build data engineering pipelines in Python.

Clock4 hours
Kai Zhang  Headshot

Kai Zhang

Data Engineer at Data Minded

Python

Introduction to MongoDB in Python

Learn to manipulate and analyze flexibly structured data with MongoDB.

Clock4 hours
Donny Winston  Headshot

Donny Winston

Computer systems engineer at Lawrence Berkeley National Lab.

Python

Introduction to Spark SQL in Python

Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.

Clock4 hours
Mark Plutowski  Headshot

Mark Plutowski

Big Data Architect & Scientist @ Flipboard

Data Engineering Courses with AWS

Cloud technologies are central to big data storage and management. With businesses increasingly embracing big data, Amazon Web Services (AWS) has become an important data engineering tool that enables growth at scale. 

Learn more about leveraging the power of Infrastructure as a Service (IaaS) in AWS Cloud Concepts. Or discover how streaming data and serverless technologies facilitate the systems we rely on daily and how to use these yourself in DataCamp’s Streaming Data with AWS Kinesis and Lambda.

Theory

AWS Cloud Concepts

Learn the fundamentals of cloud computing with AWS.

Clock2 hours
Hatim Khouzaimi  Headshot

Hatim Khouzaimi

Senior Data Scientist holding a PhD in Machine Learning.

Python

Introduction to AWS Boto in Python

Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.

Clock4 hours
Maksim Pecherskiy Headshot

Maksim Pecherskiy

Data Engineer

Theory

Streaming Data with AWS Kinesis and Lambda

Learn how to work with streaming data using serverless technologies on AWS.

Clock4 hours
Maksim Pecherskiy  Headshot

Maksim Pecherskiy

Data Engineer

Theory

Cloud Computing for Everyone

A non-coding introduction to the world of cloud computing.

Clock2 hours
Hadrien Lacroix  Headshot

Hadrien Lacroix

Curriculum Manager at DataCamp

Popular Data Engineering Courses

DataCamp’s most-popular data engineering courses can take your basic knowledge of Python and SQL to advanced in the Data Engineer with Python track, where you’ll master using the cloud and big data tools to create, manage, and scale data processes.

Around 80% of enterprise data is unstructured and requires special processing. DataCamp’s NoSQL Concepts teaches the ins and outs of flexible formatting and the wider range of use cases that can benefit businesses.  

Theory

Data Engineering for Everyone

Discover how data engineers lay the groundwork that makes data science possible. No coding involved!

Clock2 hours
Hadrien Lacroix  Headshot

Hadrien Lacroix

Curriculum Manager at DataCamp

Theory

Introduction to Data Engineering

Learn about the world of data engineering with an overview of all its relevant topics and tools!

Clock4 hours
Vincent Vankrunkelsven  Headshot

Vincent Vankrunkelsven

Data and Software Engineer @DataCamp

SQL

Database Design

Learn to design databases in SQL.

Clock4 hours
Lis Sulmont  Headshot

Lis Sulmont

Workspace Architect at DataCamp

Python

Introduction to Airflow in Python

Learn how to implement and schedule data engineering workflows.

Clock4 hours
Mike Metzger  Headshot

Mike Metzger

Data Engineer Consultant @ Flexible Creations

Python

ETL in Python

Leverage your Python and SQL knowledge to create a pipeline ingesting, transforming, and loading data into a database.

Clock4 hours
Stefano Francavilla  Headshot

Stefano Francavilla

Stefano is the CEO and co-founder of Geowox.

Python

Building Data Engineering Pipelines in Python

Learn how to build data engineering pipelines in Python.

Clock4 hours
Kai Zhang  Headshot

Kai Zhang

Data Engineer at Data Minded

Theory

AWS Cloud Concepts

Learn the fundamentals of cloud computing with AWS.

Clock2 hours
Hatim Khouzaimi   Headshot

Hatim Khouzaimi

Senior Data Scientist holding a PhD in Machine Learning.

SQL

NoSQL Concepts

In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.

Clock2 hours
Miriam Antona  Headshot

Miriam Antona

Software Engineer

Theory

Streaming Data with AWS Kinesis and Lambda

Learn how to work with streaming data using serverless technologies on AWS.

Clock4 hours
Maksim Pecherskiy  Headshot

Maksim Pecherskiy

Data Engineer

Theory

Streaming Concepts

Learn about the difference between batching and streaming, scaling streaming systems, and real-world applications.

Clock2 hours
Mike Metzger  Headshot

Mike Metzger

Data Engineer Consultant @ Flexible Creations

Learn to Build and Maintain Databases

Well-designed databases are the foundation of any successful application and they’re an essential part of the data engineering ecosystem.

Businesses need people who know their schemas from their sequences. Take your SQL skills from query-focused to architectural and learn to build and maintain your own databases in Database Design

SQL

Introduction to SQL

Master the basics of querying tables in relational databases such as MySQL, SQL Server, and PostgreSQL.

Clock4 hours
Nick Carchedi  Headshot

Nick Carchedi

Product Manager at DataCamp

SQL

Intermediate SQL

Master the complex SQL queries necessary to answer a wide variety of data science questions and prepare robust data sets for analysis in PostgreSQL.

Clock4 hours
Mona Khalil  Headshot

Mona Khalil

Data Scientist, Greenhouse Software

SQL

Introduction to Relational Databases in SQL

Learn how to create one of the most efficient ways of storing data - relational databases!

Clock4 hours
Timo Grossenbacher  Headshot

Timo Grossenbacher

Project Lead Automated Journalism at Tamedia

SQL

Functions for Manipulating Data in PostgreSQL

Learn the most important PostgreSQL functions for manipulating, processing, and transforming data.

Clock4 hours
Brian Piccolo  Headshot

Brian Piccolo

Sr. Director, Digital Strategy

SQL

Applying SQL to Real-World Problems

Find tables, store and manage new tables and views, and write maintainable SQL code to answer business questions.

Clock4 hours
Dmitriy Gorenshteyn  Headshot

Dmitriy Gorenshteyn

Lead Data Scientist at Memorial Sloan Kettering Cancer Center

SQL

Improving Query Performance in SQL Server

In this course, students will learn to write queries that are both efficient and easy to read and understand.

Clock4 hours
Dean Smith  Headshot

Dean Smith

Founder, Atamai Analytics

SQL

Building and Optimizing Triggers in SQL Server

Learn how to design and implement triggers in SQL Server using real-world examples.

Clock4 hours
Florin Angelescu  Headshot

Florin Angelescu

Database Developer

SQL

Cleaning Data in SQL Server Databases

Develop the skills you need to clean raw data and transform it into accurate insights.

Clock4 hours
Miriam Antona  Headshot

Miriam Antona

Software Engineer

SQL

Transactions and Error Handling in PostgreSQL

Ensure data consistency by learning how to use transactions and handle errors in concurrent environments.

Clock4 hours
Jason Myers  Headshot

Jason Myers

Co-Author of Essential SQLAlchemy and Software Engineer

SQL

Writing Functions and Stored Procedures in SQL Server

Master SQL Server programming by learning to create, update, and execute functions and stored procedures.

Clock4 hours
Meghan Kwartler  Headshot

Meghan Kwartler

IT Consultant

Data Engineering Courses FAQs

What does a data engineer do?

Make data accessible and usable. Data engineers collect, organize, and prepare large amounts of structured and unstructured data for further analysis. They also design and build data pipelines and databases to manage the flow of volumes of raw information. 

An essential part of the data industry, data engineers ensure that data scientists and analysts have what they need to do their jobs.

Some data engineers work on general, end-to-end data delivery tasks, while others focus on pipelines that connect data from distributed sources such as data lakes, warehouses, and databases. Some data engineers have a focus on database systems specifically.

Are data engineer skills in demand?

Yes, the demand for data engineers and people with these skills is very high. Dice Insights reported that in 2019, ‘data engineer’ was the top trending tech job, and there was an 88.3% jump in the number of listings seeking these professionals. 

Fast forward to 2022, and the demand is still incredibly high - especially as data engineering itself has changed. The rise of AI and machine learning solutions that help power the rapid management and analysis of data mean there’s a need for people who understand the evolving data landscape. 

How much math do I need to learn data engineering?

It depends. If you enter the profession through the traditional pathway, it typically involves a Bachelor’s degree in computer science, perhaps followed by a Master’s. To study computer science, most degree programs require a basic understanding of calculus, algebra, statistics, and discrete mathematics.

You can also become a data engineer through a more modern pathway, such as online courses with providers like DataCamp, or by working in related data roles and building your knowledge of data engineering. In this case, math is certainly helpful, but it’s not a prerequisite. 

Note that data engineers don’t use mathematics as much as data scientists or analysts. You don’t need to be a math whiz to design and create the systems that manage data, nor to collect, collate, and prepare it for others to analyze. 

Both public and private organizations need to understand their data to make informed decisions and for that, they need people with data analysis skills. It’s safe to say that learning data analysis in 2022 and beyond is a smart career move.

Do I need to know Python to be a data engineer?

Yes. Python, R, and SQL are the three most common programming languages data engineers use. Many are also skilled in other languages such as C++ and Java. 

Even if you already know R and SQL, you stand a much better chance of landing a lucrative data engineering job if you know rudimentary Python - because it’s widely used, both in the data industry and in business. 

If you go down the latter route, know that data analysis relies upon several technologies. So, you should look into software such as Excel, Tableau, and Power BI. You’ll also need either R or Python, SQL, and access to a relational database such as PostgreSQL.

Do I need to download data engineering software to learn on Datacamp?

No, DataCamp provides everything you need to learn data engineering on our dedicated platform. You just need a browser and a reliable internet connection. 

After you sign up for one of our online data engineering courses, you’ll complete your exercises and projects on our browser-based platform. 

What is the difference between a free account and a subscription?

Full access to DataCamp’s wide range of data analysis courses. With a free subscription, you can complete the first chapter of all DataCamp courses, access parts of our resources and practice center, and get involved in the community.

With a premium subscription, you get unlimited access to all of DataCamp’s data analysis courses from the first chapter right through to completion (including access to our complete library of more than 350 courses). You’ll also be able to take part in special projects that help cement your learning and gain shareable statements of achievement.