10 Best Data Engineering Courses in 2023

The data engineering industry is booming. There are more jobs than qualified engineers to fill them. The need for trained data engineers has never been higher. And the best way to become one is by taking online courses in this field.

In this review, we will list the 10 best data engineering courses online, including some of our favorite ones from leading companies like IBM and Google.

We hope that you find this list helpful when deciding which course might be right for you!

1. Become a Data Engineer (Udacity in Collaboration with Insight)

Do you want to know how to build software or data-driven applications? This nanodegree course from Udacity is for you. You will learn how to design complex data models, automate your pipelines and manage the complexities of big data, and learn some useful skills on the fly. The interactive online environment includes real-world projects that will keep you engaged for hours. You can finish this course in 5 months if you study 5-10 hours per week.

Key Benefits
– Learn how to work with large datasets.
– Gain an understanding of data modeling and how it relates to your professional work.
– Get the skills you need to land your dream job.
– Quickly become an expert data engineer.
– Build a career in a field that is growing exponentially every year.

You can sign up here.

2. Data Engineering for Everyone (DataCamp)

This online course from DataCamp will teach you how to become a data engineering professional. From understanding a data engineer’s role and responsibilities, to curating your company’s datasets, this course lays out the steps for success as a newly minted data engineer. You will learn about topics like developing skills with SQL, Python, R, and more. This end-to-end course covers all major tenets of becoming a great data engineer. You can finish this course, which includes 11 videos and 32 exercises, in just 2 hours.

Key Benefits
– Learn about the responsibilities of a data engineer.
– Understand how data engineers differ from data scientists.
– Be ready to have a good conversation with data engineers.
– Have a solid foundation for your own data engineering journey.

You can sign up here.

3. Introduction to Data Engineering (DataCamp)

This online DataCamp course is perfect for learning the basics of data engineering. It will walk you through insights about data engineering. That means you do not need to spend time looking for solutions on forums or doing trial and error experiments. You will also uncover a few potential uses of your newfound knowledge for your company. This 4-hour course allows enough flexibility, both in terms of timing and how many hours you do each night, for any schedule. You can watch the 15 videos or do the 57 exercises whenever they fit into your work life without compromising your responsibilities.

Key Benefits
– Learn the basics of data engineering.
– Gain a better understanding of how your company handles its data.
– Be the first one to introduce these techniques to your company.
– Become your company’s data guru.

You can sign up here.

4. Building Data Engineering Pipelines in Python (DataCamp)

Have you always been curious about how data engineering works? In this course, you will learn about the various types of data pipelines that data engineers build. And you will learn how to use some tools to help you get your models into production or run repetitive tasks consistently and efficiently. You can finish this course, which includes 14 videos and 52 exercises, in just 4 hours.

Key Benefits
– Learn how to build data pipelines.
– Get a better understanding of the tools you can use for your specific needs.
– Be more confident in your abilities as a data engineer.

You can sign up here.

5. Apache Spark for Data Engineering and Machine Learning (IBM via edX)

This online course from IBM offers a solid introduction to the fundamentals of data engineering and machine learning with Apache Spark. It covers all the basics including the whole ETL data integration process for machine learning pipelines. After finishing this course, you will be up-to-speed with all the necessary engineering tools. The course is just 3 weeks long if you spend 2-3 hours per week studying.

Key Benefits
– Gain a better understanding of the fundamentals of data engineering and machine learning with Apache Spark.
– Learn how to use Apache Spark for ETL and machine learning workflows.
– Become more confident in your ability to use Apache Spark.

You can sign up here.

6. Data Engineering on Google Cloud (Google via Pluralsight)

Google Cloud Platform is an excellent tool for creating and using data processing systems. This course reaches across the spectrum, from introductory to advanced topics. You will learn about designing and building clusters in Google Compute Engine. And you will learn how to manage different data formats, build data pipelines, analyze complex datasets, and more. Not to mention, you will get hands-on experience from classroom workshops and work on some fun projects.

Key Benefits
– Learn how to design and build data processing systems on Google Cloud Platform.
– Gain insights into structured, unstructured, and streaming data.
– Get a competitive edge in the job market by knowing these skills.

You can sign up here.

7. Microsoft Exam DP-203 Data Engineering on Microsoft Azure (Pluralsight)

This course will help prepare you to take the DP-203 certification exam. Before enrolling in this course, you should have a few years of data engineering work experience. You should also know how to leverage Azure’s features. After taking this course, you will be ready to pass the Microsoft DP-203 certification. This certification will not only open up new career possibilities, but it will help provide you with the latest skills.

Key Benefits
– Become an expert with Microsoft Azure.
– Prepare for the Microsoft DP-203 certification exam by getting a better understanding of how Azure services work together.
– Gain a competitive advantage by learning how to use Microsoft Azure’s latest features and its wide range of data engineering capabilities.

You can sign up here.

8. Google Cloud Big Data Foundations (Google via Pluralsight)

With faster and easier data processing, Google Cloud Platform is one of the top choices for developers who want to work their way around big data. This course will show you how to use today’s most developer-friendly tools. It will walk you through common scenarios you will face in the real world. You should take this course if you want a thorough overview of BigQuery and learn some tricks you can put into practice right away.

Key Benefits
– Gain hands-on experience with big data.
– Become more confident in your data analysis skills.
– Get a better understanding of the capabilities of Google Cloud Platform.
– Learn how to store and analyze massive amounts of data on Google Cloud Platform.

You can sign up here.

9. Google Cloud Certified Professional Data Engineer (Google via Pluralsight)

Prepare for a job in the competitive field of cloud data engineering with Pluralsight’s training. Regardless of your background, this course will help you hit the ground running and build skills that translate anywhere. Google Cloud employees wrote and curated the course material to help you gain real-world expertise. If you want to help make your resume soar, take advantage of this convenient course today. You will be ready to take the Google Cloud certification exam by the time you finish this course.

Key Benefits
– Become an expert in data engineering.
– Gain the skills to become a certified cloud data engineer.
– Start developing your career in this exciting field.

You can sign up here.

10. Become a Data Engineer: Mastering the Concepts (LinkedIn Learning)

In this online course, you will build the data engineering skills you need to gain an edge in your career. This 14-hour course will teach you the tools of the trade and how to apply them on real-world data projects. Whether you are a beginner or an experienced professional looking to refresh your knowledge, we think you will like this course.

Key Benefits
– Learn the skills of a data engineer or DevOps specialist.
– Gain hands-on experience with real-world tools.
– Build your career in an exciting, fast-paced field.

You can sign up here.