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 following tables lists some important AWK builtin variables:


|Variable|Description|
|---|---|
| `ARGC`, `ARGV` | command-line arguments  |
|`FILENAME`|name of the file that awk is currently reading.|
|`FNR`| current record number in the current file, incremented on new records read|
|`NF`| number of fields in the current input record|
|`NR`|number of input records processed since the beginning of the program's execution|
|`RLENGTH`|  length of the substring matched by the AWK's `match` function |
| `RS` | input record separator (default: newline)|
| `OFS` | output field separator (default: blank)|
| `ORS` | output record separator (default: newline)|
| `OFMT` | output format for numbers (default: %.6g)|
| `ENVIRON`| array of environment variables; subscripts are names.|


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 Built-in Variables

Variable	Description
`ARGC`, `ARGV`	command-line arguments