DataCamp

Introduction to Docker

Engineering and Technology

Short Description

Gain an introduction to Docker and discover its importance in the data professional’s toolkit. Learn about Docker containers, images, and more.

Long Description

This course offers an introduction to Docker, a powerful tool used for developing, running, and shipping containers. Docker is an essential component for data professionals, enabling the creation of robust, secure, and scalable applications and workflows. Throughout this course, you will gain expertise in Docker, with a focus on hands-on experience using the Docker Command Line Interface. The course begins by exploring the basics of Docker, including container creation and management using Dockerfiles and instructions. You will also gain an understanding of when containers are useful and familiarize yourself with Docker terminology. Through practical exercises, you will gain proficiency in using Docker commands through the Docker CLI. Furthermore, this course delves into the creation and management of Docker containers using Dockerfiles and Dockerfile instructions. You will learn best practices for ensuring the security of Docker images, ensuring the safety and integrity of your applications. By the end of this course, you will have a solid foundation in Docker, equipped with the knowledge and skills to effectively utilize Docker for your development and deployment needs.

Course Details

Duration
4 hours
Difficulty
Intermediate
Format
Short Course
Price
USD39.00
Course Link
More Information
DataCamp
Description
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.