Free Course on

Data Engineering

The impact of data science and analytics by Data Camp

Free course on Data Engineering by Data Camp. Data science and analytics are rapidly shaping every aspect of our lives and our businesses. We’re collecting more data than ever before, but not everyone is able to efficiently analyze all that data to extract meaningful insights.


There is incredible power in data—but only if you know what to do with it. DataCamp teaches companies and individuals the skills they need to work with data in the real world.



free course

Hello Friends, If you want to increase you skills and knowledge in the field of Data Engineering, this this is the best platform for you. Here you can discover how data engineers lay the groundwork that makes data science possible. No coding involved!

Course Description

Data engineers lay the foundations that make data science possible. <br /> <br /> In this course, you’ll learn about a data engineer’s core responsibilities, how they differ from data scientists, and facilitate the flow of data through an organization.

Through hands-on exercises you’ll follow Spotflix, a fictional music streaming company, to understand how their data engineers collect, clean, and catalog their data.

By the end of the course, you’ll understand what your company’s data engineers do, be ready to have a conversation with a data engineer, and have a solid foundation to start your own data engineer journey.

Free Course on Data Engineering by Data Camp

1. What is Data Engineering?

In this chapter, you’ll learn what data engineering is and why demand for them is increasing. You’ll then discover where data engineering sits in relation to the data science lifecycle, how data engineers differ from data scientists, and have an introduction to your first complete data pipeline.
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2. Storing Data

It’s time to talk about data storage—one of the main responsibilities for a data engineer. In this chapter, you’ll learn how data engineers manage different data structures, work in SQL—the programming language of choice for querying and storing data, and implement appropriate data storage solutions with data lakes and data warehouses.
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3. Moving and Processing Data

Data engineers make life easy for data scientists by preparing raw data for analysis using different processing techniques at different steps. These steps need to be combined to create pipelines, which is when automation comes into play. Finally, data engineers use parallel and cloud computing to keep pipelines flowing smoothly.
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