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

To find the top most crime that happened the highest number of times in Australia, we want to `sort` our `crimedata-au.csv` file by the `Total` column (column `11`).

As mentioned earlier, Bash has a command just for doing that, and as you may have guessed, it’s called `sort`. However, running sort on the `.csv` will output all lines of the file on the screen! which is not essentially very useful.

Instead, we would like to sort the file, and then only show the first few lines of the sorted result. To do this, we’ll need to use `pipes ( | )` as we did before. As a quick reminder, pipes are convenient because they allow you to move the output of a command into the input of another command, without saving the intermediate result to a 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

Finding the top most crime in the whole country (sort, tail, awk)