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Data Engineering Courses

Data engineering courses teach the design and construction of systems for collecting, storing, and analyzing large sets of data efficiently. Build your skills in technologies such as Azure, AWS, dbt and more.
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Recommended for Data Engineering beginners

Build your Data Engineering skills with interactive courses, curated by real-world experts



Understanding Data Engineering

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


Data Engineer in Python

57 hr
Gain in-demand skills to efficiently ingest, clean, manage data, and schedule and monitor pipelines, setting you apart in the data engineering field.

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Understanding Data Engineering

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


Database Design

BeginnerSkill Level
4 hr
Learn to design databases in SQL to process, store, and organize data in a more efficient way.


Introduction to PySpark

IntermediateSkill Level
4 hr
Learn to implement distributed data management and machine learning in Spark using the PySpark package.


Introduction to Snowflake

IntermediateSkill Level
3 hr
This course will take you from Snowflake's foundational architecture to mastering advanced SnowSQL techniques.


Introduction to Data Warehousing

IntermediateSkill Level
4 hr
This introductory and conceptual course will help you understand the fundamentals of data warehousing.


Introduction to Databricks

BeginnerSkill Level
4 hr
Learn about the power of Databricks Lakehouse and help you scale up your data engineering and machine learning skills.


Introduction to Data Pipelines

IntermediateSkill Level
4 hr
This introductory course will help you hone the skills to build effective, performant, and reliable data pipelines.
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Related resources on Data Engineering

Data Engineering Vector Image


How to Become a Data Engineer in 2024: 5 Steps for Career Success

Discover how to become a data engineer and learn the essential skills. Develop your knowledge and portfolio to prepare for the data engineer interview.
Javier Canales Luna 's photo

Javier Canales Luna

17 min


5 Essential Data Engineering Skills

Discover the data engineering skills you need to thrive in the industry. Find out about the roles and responsibilities of a data engineer, and how you can develop your own skills.
Joleen Bothma's photo

Joleen Bothma

11 min


Databricks Tutorial: 7 Must-know Concepts For Any Data Specialist

Learn the most popular unified platform for big data analytics - Databricks. The tutorial covers the seven core concepts and features of Databricks and how they interconnect to solve real-world issues in the modern data world.
Bex Tuychiev's photo

Bex Tuychiev

12 min

Ready to apply your skills?

Projects allow you to apply your knowledge to a wide range of datasets to solve real-world problems in your browser


Performing a Code Review

1 hr
Review a data analysis workflow for adherence to Python standards and best-practices.


Cleaning Bank Marketing Campaign Data

0.5 hr
Tidy a bank marketing campaign dataset by splitting it into subsets, updating values, converting data types, and storing it as multiple csv files.
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Frequently asked questions

What does a data engineer do?

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. The growth rate of data engineer jobs is projected at 21% between 2018 and 2028.

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. Our courses and Data Engineer Certification are designed to build your skills and get you recruited.

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.

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.

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 courses, you’ll complete your exercises and projects on our browser-based platform.

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