Linux and Bash for Data Engineering
This course is part of Data Engineering Foundations.
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:
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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
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
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Data Engineering Foundations
Instructor
Executive in Residence and Founder of Pragmatic AI Labs at Duke University
Noah Gift is the founder of Pragmatic AI Labs and serves as an Executive in Residence at Duke University, where he lectures in the Master of Interdisciplinary Data Science (MIDS) program. He specializes in designing and teaching graduate-level courses on machine learning, MLOps, artificial intelligence, and data science, while also consulting on machine learning and cloud architecture for students and faculty. A recognized expert in the field, Gift is a Python Software Foundation Fellow and an AWS Machine Learning Hero, holding multiple AWS certifications, including AWS Certified Solutions Architect and AWS Certified Machine Learning Specialist. He has authored several influential books, such as Practical MLOps, Python for DevOps, and Pragmatic AI, and has published over 100 technical articles across various platforms, including Forbes and O'Reilly. His extensive industry experience includes roles as CTO and Chief Data Scientist for notable companies like Disney Feature Animation, Sony Imageworks, and AT&T, contributing to major films like Avatar and Spider-Man 3. Gift's work has generated millions in revenue through product development on a global scale. He actively consults startups on machine learning and cloud architecture while leading initiatives to enhance data science education.
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Frequently asked questions
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