Gain insights into data processing using Bash, sed, awk, and RegEx. Explore sorting, searching, replacing, and optimizing data tasks interactively with animated videos, projects, quizzes, and tasks.

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2500+ students have taken this innovative project-based data learning course (includes video lectures). It demonstrates the use of Bash shell (Bash, sed and awk including RegEx) in processing textual data. It can help to learn to sort, search, match, replace, clean and optimize various aspects of data with Bash Shell. The target audience (students, researchers, scientists, journalists, data miners, developers) didn't have to go through any tough learning curve. This course also should have helped RedHat, SuSE and Ubuntu Linux learners and Data Science enthusiasts.  Regularly updated, new projects to come!

- Learn Bash commands interactively
- Projects with own stories and conclusive decisions
- Animated video lectures (for visual learners)
- Demonstrations
- Quizzes
- Learning tasks

Bloom's taxonomy (remember, understand, apply, analyze, evaluate and create) in developing your Linux skills. Learn Scientific Programming! scientificprogramming.io

Learn Data Science with Bash Shell

The best way to learn AWK is probably looking at some examples in a given context, let us create file `data.txt` file which has the following content:

# File content: data.txt
|Months|Water|Gas|Elec|Phone|
|---|---|---|---|---|
|Jan|647|2851|3310|1200|
|Feb|287|3544|25500|1000|
|Mar|238|3212|21900|1710|
|Apr|468|6986|35000|2000|
|May|124|1097|96300|13000|



Thanks to [educative.io](https://www.educative.io/) team for helping me to apriori upload this file (data.txt) to the Educative storage space. So, you should be good to go, just press the Run button!


# Example 1. AWK `print` function

By default Awk prints every line from the file.

Course Introduction

Project 1: Analyzing the 'US News' University Ranking Data

Project 2: Facebook Data Mining

Project 3: Australian Cities Crime Statistics

Project 4: Shakespearean-era plays and poems data mining

Bash Tutorials

REGEX Tutorials

AWK Tutorials

SED, GREP and Find Tutorials

Beyond the Text Files! Enter into the Big Data Landscape - Concepts

Conclusion

AWK useful examples

File content: data.txt #

Months	Water	Gas	Elec	Phone
Jan	647	2851	3310	1200
Feb	287	3544	25500	1000
Mar	238	3212	21900	1710