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
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
Instructor

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.
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