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Docker courses

Docker is a tool used to develop, run, and ship containers. It’s an essential part of a data professional’s toolbelt. Learn how to create robust, secure, and scalable applications or workflows.
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Recommended for Docker beginners

Build your Docker skills with interactive courses curated by real-world experts

course

Introduction to Docker

IntermediateSkill Level
4 hours
1.1K
Gain an introduction to Docker and discover its importance in the data professional’s toolkit. Learn about Docker containers, images, and more.

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course

Introduction to Docker

IntermediateSkill Level
4 hours
1.1K
Gain an introduction to Docker and discover its importance in the data professional’s toolkit. Learn about Docker containers, images, and more.

course

Intermediate Docker

IntermediateSkill Level
4 hours
247
Master multi-stage builds, Docker networking tools, and Docker Compose for optimal containerized applications!

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The Complete Docker Certification (DCA) Guide for 2024

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Matt Crabtree

8 min

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Docker for Data Science: An Introduction

In this Docker tutorial, discover the setup, common Docker commands, dockerizing machine learning applications, and industry-wide best practices.
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Arunn Thevapalan

15 min

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10 min

Frequently asked questions

What topics are covered in Docker courses?

You’ll master the basics of creating and managing containers using Dockerfiles and instructions in Introduction to Docker, including writing you own and creating secure Docker images.

As you progress with Intermediate Docker, you will gain hands-on experience with Docker commands, learn Docker image security best practices, and more.

Do I need any prior experience to take a Docker course?

Before diving into Docker, you need a basic understanding of computer science and programming. 

Ideally, you’ve also completed DataCamp’s Introduction to Shell and Containerization and Virtualization Concepts courses.

If you’re completely new to programming, Introduction to Python is the best place to get started in the world’s most popular programming languages—no experience required.

Who should take a Docker course?

Data professionals, especially developers, should learn Docker. 

Docker offers a powerful set of tools that can make you a more efficient, productive, and valuable developer—it’s an excellent investment in your future.

For a more detailed introduction, head to our Docker for Data Science: An Introduction tutorial.

What is Docker used for?

Docker lets you develop, run, and ship containers. 

It's an essential tool for data professionals, helping you manage and share analyses and models, or create robust data applications.

Docker also helps developers package their applications and dependencies into a container, which can then run on any machine that has Docker installed.

What are Docker, Containers, and Images?

Docker is a platform for building, running, and shipping applications. 

Containers are lightweight, standalone, executable packages that contain everything needed to run an application, including the code, a runtime, libraries, environment variables, and config files.

A Docker Image is a read-only file that contains all the necessary instructions for creating a container. They are used to create and start new containers at runtime.

Is Docker difficult to learn?

Learning Docker can be challenging, but with expert guidance and the right resources, you can quickly understand it.

Once you know the basic Docker concepts and commands, using it alongside another programming language becomes easier.

Get started with Introduction to Docker in just four hours of study.

Is Docker worth learning?

Docker is highly valuable for data professionals looking to enable integration with DevOps teams and general collaboration.

With containerization, you make it easier to deploy and manage applications across different environments.

Which Docker course should I start with?

Introduction to Docker is the perfect place to start. 

It offers a series of step-by-step exercises, starting with the basics and building up to more complex applications like creating secure images.

Not sure if you’ve got the correct experience? 

To get started with Docker, you need a fundamental understanding of shell and containerization concepts, both of which you can learn in Introduction to Shell and Containerization and Virtualization Concepts.

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