Easy Learning with Linux for Data Engineers (Hands On)
IT & Software > Operating Systems & Servers
2 h
£39.99 £12.99
3.8
29089 students

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Language: English

Master Linux for Data Engineering: A Hands-On Guide

What you will learn:

  • Essential Linux commands and navigation techniques for data engineers
  • Effective file system management and manipulation
  • Proficient use of Bash shell scripting for automation
  • Understanding and managing Linux file permissions (chmod)
  • Troubleshooting and optimizing Linux systems
  • Working with different Linux distributions (e.g., Ubuntu)
  • Installation and configuration of Linux on different systems
  • Best practices for data engineers working in Linux environments
  • Advanced Linux concepts crucial for a data engineering career
  • Practical application of Linux skills through hands-on exercises and real-world scenarios

Description

Unlock your data engineering potential with our comprehensive, hands-on Linux course. In just over 1.5 hours, you'll master the core Linux commands and concepts crucial for a thriving career in data engineering. This fast-paced, practical training covers everything from installation and file system navigation to powerful scripting techniques. Data engineering is booming, and Linux expertise is your ticket to high-demand jobs.

This course isn't just theory; it's designed for immediate application. Through numerous hands-on exercises and real-world examples, you'll build confidence in managing Linux systems. Learn to navigate the complexities of the Linux operating system, including critical commands (like cd, ls, mkdir, and more), file permissions, and essential scripting skills using Bash.

Whether you're an aspiring data engineer, a seasoned IT professional looking to expand your skillset, or simply a tech enthusiast, this course provides a solid foundation in the Linux environment. We’ll explore popular distributions like Ubuntu, covering installation, system administration, and troubleshooting. You'll also gain proficiency in essential tools, empowering you to optimize system performance and boost your overall productivity.

What awaits you:

  • Practical, project-based learning: Apply your knowledge immediately through hands-on exercises.
  • Expert instruction: Learn from an experienced instructor who understands the needs of data engineers.
  • Career advancement: Gain in-demand skills that will set you apart in a competitive job market.
  • Comprehensive coverage: From the basics to advanced scripting, we've got you covered.

Stop waiting and start learning. Enroll today and transform your data engineering career!

Curriculum

Introduction to Linux for Data Engineers

This introductory section lays the groundwork for your Linux journey. You'll begin with a general introduction and overview, followed by a deep dive into the Linux operating system itself and an exploration of various Linux distributions, equipping you with a broad understanding of the landscape before moving onto practical application.

Linux Installations and File System Structure

This section focuses on hands-on installation of Ubuntu Desktop, guiding you through the process on Windows 10. You'll then delve into the critical aspect of understanding Linux file system structure, gaining proficiency in navigating and exploring the Ubuntu environment. We’ll also provide valuable tips to optimize your learning experience within the course itself.

Basics of Linux (Ubuntu)

This comprehensive section forms the core of the course, covering essential Linux commands and functionalities. Starting with software installation and the use of manual pages, it guides you through a series of meticulously structured 'Basic Operations' lessons. These cover a broad range of commands, from fundamental navigation and file management to more advanced aspects like system logging, file permissions, and text editing with nano and vi. The section concludes with an in-depth exploration of Bash shell scripting, covering interactive scripting, functions, parameters, various loop structures (if-else, for, while, until), and Boolean expressions – providing a solid foundation for automating tasks and enhancing productivity. A bonus lecture offers extra insights and tips.