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.

tarballBash.tar.gz

code-job

spa-job

code-job-bash

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

Now that the Facebook has more than a billion of active users, it really has become a personal, product and corporate branding hub. Companies would like to understand what people think about topics related to their business, so they can make their products and marketing more relevant to their customers. One way to achieve such goal is to analyse company's FB pages which can make marketing content more relevant for marketers. 

In this lesson, we’re going to mine a dataset generated by using a [Facebook scraper](https://github.com/minimaxir/facebook-page-post-scraper) on a particular Facebook page (undisclosed). The goal of this experiment is to find the most vibrant status message on that page, with just one Bash command.



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

FB: Data Preview (csvstat, csvcut, head, cat)