Data Engineering Courses

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 2023, 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. Our courses and Data Engineer Certification are designed to build your skills and get your 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. 

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.

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.

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. 

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.