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Linux and Bash for Data Engineering

Master essential Linux and Bash skills for efficient data engineering, from shell scripting to automated workflows.

Master essential Linux and Bash skills for efficient data engineering, from shell scripting to automated workflows.

This comprehensive course teaches Linux and Bash fundamentals specifically tailored for data engineering tasks. Students learn to manipulate data using shell variables, construct powerful scripts, and build automated workflows. The curriculum covers essential Linux utilities, shell environment configuration, and advanced data processing techniques using command-line tools. Through hands-on exercises, participants develop practical skills in file management, data manipulation, and workflow automation.

Instructors:

English

English

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Linux and Bash for Data Engineering

This course includes

4 Weeks

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

38,999

Audit For Free

What you'll learn

  • Navigate and manage Linux filesystems effectively

  • Configure and customize Bash shell environments

  • Manipulate data using shell variables and streams

  • Create efficient Bash scripts and command-line tools

  • Implement automated data workflows

  • Process and search text data using Linux utilities

Skills you'll gain

Linux
Bash Scripting
Shell Programming
Data Processing
SSH
File Management
Command Line
Shell Variables
Text Processing
Automation

This course includes:

PreRecorded video

Graded assignments, exams

Access on Mobile, Tablet, Desktop

Limited Access access

Shareable certificate

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There are 4 modules in this course

This intensive course provides comprehensive training in Linux and Bash scripting for data engineering applications. The curriculum begins with Linux fundamentals and progresses through shell environment configuration, data manipulation using shell variables and streams, and advanced scripting techniques. Students learn essential file management, data processing tools, and automation methods through practical exercises. Special emphasis is placed on building efficient data workflows and command-line tools.

Using Linux

Module 1

Using Bash

Module 2

Building Bash Scripts

Module 3

Composing File and Data Solutions

Module 4

Fee Structure

Instructor

Noah Gift
Noah Gift

30 Courses

Pioneering Tech Leader & AI Educator Shaping the Future of Machine Learning

Noah Gift is a distinguished technology leader and founder of Pragmatic AI Labs with a remarkable 30-year career spanning film, TV, telecom, social networks, startups, and big data, currently serving as an Executive-in-Residence at Duke University. As an AWS ML Hero and Python Software Foundation Fellow, he has authored best-selling books through O'Reilly and Pearson on DevOps, MLOps, data engineering, and cloud computing that are widely adopted by major universities. His expertise in MLOps, data engineering, cloud architecture, and Rust programming has led him to teach thousands of students across prestigious institutions including Duke, Northwestern, UC Berkeley, University of San Francisco, and UC Davis, while also collaborating with Caltech and JPL on automated IT systems. Gift's impact extends beyond academia through his work as a startup CTO, his role in developing scalable distributed systems, and his contributions as a keynote speaker at conferences focused on cloud development and ethical AI use, holding certifications from AWS, Google, and Microsoft, and having published over 100 technical works while conducting workshops for organizations like NASA, PayPal, and PyCon.

Linux and Bash for Data Engineering

This course includes

4 Weeks

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

38,999

Audit For Free

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.