Many fields, such as data science, bioinformatics, and Linux systems administration, require the manipulation of textual data. Tasks include extracting fields or records meeting certain conditions from structured data (e.g., comma-separated files), combining content from multiple files, applying systematic changes to all lines of a document, sorting or randomizing data, and splitting larger files into smaller files. While these operations could be done by hand, they tend to be time-consuming, tedious and, worst of all, error prone.

Linux Tools for Text Processing

Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Use of basic and advanced tools for searching and manipulating text in a Linux environment
Regular expressions in the context of awk, sed and grep
Skills you'll gain
Tools you'll learn
Details to know

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Recently updated!
October 2025
Assessments
12 assignments
Taught in English
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There are 7 modules in this course
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