Unix Tools: Data, Software and Production Engineering
Master Unix command-line tools for data processing, software development, and IT tasks in this 6-week course.
Master Unix command-line tools for data processing, software development, and IT tasks in this 6-week course.
Unlock the power of Unix tools in this comprehensive 6-week course designed to transform you from a Unix novice to a Unix wizard. Learn to process big data, analyze software code, and run DevOps tasks efficiently using the Unix shell and command-line tools. This course, ideal for software developers, IT professionals, and data analysts, covers essential Unix concepts from basic command-line usage to advanced data processing techniques. You'll master data pipelines, control structures, and tool selection for tasks like data fetching, processing, and reporting. The curriculum includes hands-on experience with tools for software development, system administration, and even multimedia processing. Through carefully-selected, interactive examples mirroring real-world scenarios, you'll learn to apply Unix tools across various platforms, from IoT devices to supercomputers, significantly enhancing your productivity and problem-solving skills in the digital landscape.
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What you'll learn
Master the Unix command-line interface and combine commands effectively
Use files, data pipelines, variables, and control structures in Unix environments
Select and apply appropriate Unix tools for data fetching, processing, and reporting
Obtain data from diverse sources including databases, cloud hosts, and version control systems
Process and analyze large datasets efficiently using Unix commands
Apply Unix tools to software development and system administration tasks
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 6 modules in this course
This course provides a comprehensive introduction to Unix tools, focusing on their application in data processing, software development, and IT operations. The curriculum is structured over six weeks, covering topics from basic command-line interface usage to advanced data processing techniques. Students will learn to use Unix tools for various tasks including data fetching, selection, processing, summarization, and reporting. The course emphasizes practical, interactive learning through carefully selected examples that mirror real-world scenarios. It includes over 110 knowledge checks and five progress assessments, allowing students to apply their skills to practical tasks. The course is designed to boost the effectiveness and productivity of professionals working with data and software systems across various platforms, from IoT devices to supercomputers.
Introduction — Getting to the Command Line
Module 1
Execution control; Data processing flow; Data fetching
Module 2
Data fetching; Data generation; Regular expressions and data selection
Module 3
Other data selection tools; Processing: Sorting, working with sorted data, sed, awk
Module 4
Processing: File differences, testing, and expressions
Module 5
Processing images and sound; Summarizing; Reporting
Module 6
Fee Structure
Instructor
1 Course
Pioneering Leader in Quantum Information and Network Computing
Stephanie Wehner, born in Würzburg in 1977, serves as the Antoni van Leeuwenhoek Professor in quantum information at Delft University of Technology and directs the European Quantum Internet Alliance, where she leads groundbreaking research in quantum networks and computing. Her academic journey includes degrees from the University of Amsterdam, followed by postdoctoral research at Caltech under John Preskill, and a significant tenure at the National University of Singapore's Centre for Quantum Technologies from 2010 to 2014. Her research has revolutionized quantum cryptography through the introduction of the noisy-storage model and, with Jonathan Oppenheim, discovered the fundamental connection between quantum mechanics' non-locality and the uncertainty principle. Her expertise spans quantum cryptography, communication, and network development, with over 100 scientific publications garnering more than 11,000 citations. Wehner's unique background includes experience as a professional hacker, adding practical cybersecurity insights to her theoretical work. Her exceptional contributions have earned her membership in the Royal Netherlands Academy of Arts and Sciences (2022), the KNAW Ammodo award, and recognition for co-founding QCRYPT, the world's largest quantum cryptography conference, while her work on quantum entanglement was named one of Science's Top 10 Breakthroughs of 2015
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