Data Engineering Courses

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.

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.

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.

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.