Online Data Engineering Courses

Data Engineering Online Courses

Data engineering is all about collecting, storing, analyzing, and grouping data that exist within a company. This data comes from various sources and is available in different formats. A data engineer's job is to manage data and make it usable and applicable in practice, which includes interpreting, getting rid of errors, removing duplicates, and building data pipelines.

This field is growing very fast, and almost every company looks to have skilled data engineers and data scientists on their team so that they can design data models and help businesses to navigate through a huge amount of information that is circulating around the business.

Data engineering solutions would be valuable to any business because it is of utmost importance to any company to make use of the data that can help predict future trends and optimize already existing processes.

Data engineer VS data scientist

Data engineers and data scientists often go hand in hand to streamline the processes inside a company, but the question is, what is the difference between the two? We are going to give you a brief answer to it below.

Data science is about working with raw data and extracting the most valuable parts from it. A data scientist needs to process data and understand how everything works together. On top of that, these specialists are usually asked to present their findings to stakeholders and prove that their analysis has value to the business.

Data engineering relates to building systems that collect and store data, as well as maintaining them. In other words, data engineers need to build systems that will allow a data scientist to get the necessary information. The role of a data engineer is to design data models and create data pipelines, together with being responsible for data storage and building cloud data warehouses and data lakes.

All in all, both data engineering and science mean working with a data ecosystem and massive datasets; they only focus on different aspects of data processing.

Want to become an aspiring data engineer?

If you have set your mind on learning data engineering skills and working in the field of big data, data transformation, and data structures, you can sign up for a course that will take a certain amount of hours per week and will make it possible for you to get the grasp of data engineering.

Most courses do not ask candidates to have a degree in computer science, but there is certain prior knowledge that those who wish to have a data engineering career are required to have, and that is the following:

• Knowledge of such programming languages as Python and SQL
• Good level of linear algebra
• Knowing how data structures and algorithms work and function

Different courses might have prerequisites that are necessary exactly for them, so do not forget to check the list of required skills and knowledge before you enroll in a program.

Best data engineering courses for a future data engineer

If you are ready to start your data engineering journey, it is time to have a look at the study options that would fit you personally and meet your learning goals. In general, data engineering courses comprise some basic skills and processes that, or data engineering fundamentals, will help you get an overview of what working in a big data ecosystem is like.

Usually, data engineering courses include the following:

• Data modelling, where you will learn to set up NoSQL data models and relational databases that target the customer's needs
• Data warehousing, where you can brush up on your skills in building a data warehouse and gain an understanding of data infrastructure
• Data processing using different tools like Apache Spark and storing data in a data lake
• Working with data pipelines, where you will gain some knowledge in how to schedule and automate data pipelines as well as perform quality checks

Some online data engineering courses not only offer a chance to learn data engineering in theory but also give the opportunity to work on a capstone project at the end of the learning process.

These real-world projects will show your potential employer that you are ready to become a successful data engineer and can apply your skills in building cloud-based data warehouses, supporting machine learning models, navigating through a data engineering ecosystem, and implementing data engineering solutions in real life.

How to choose the right course

We can suggest a few criteria that will make it a bit easier for you to single out what exactly you need:

• Make sure that trainers and instructors are experienced professionals and have the qualifications that align with your interests. It will be a good idea to take a look at their certificates if there is a chance to do so.
• Take a look at the platform where you are planning to study. If it is not user-friendly enough, you might lose some time trying to get your head around what is going on there instead of focusing on your primary skill.
• Do not be afraid to read the reviews and ask questions if you have any. Sometimes feedback can tell you more than clever ads.
• If you are looking for a course to shift your career, we advise you to choose one that offers hands-on experience and allows you to try your hand at different projects in the field.
• If you are a beginner in data science or data engineering, do not take advanced courses right away. Plan your learning journey accordingly, and make your way to the top of your career nice and slow.

It is easy to get lost in a wide variety of information and find it hard to make the right choice, especially in terms of learning courses. Consider the options carefully, scale up the benefits and effort needed and pick the right course you prefer!

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