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

Map Reduce is another major component of the Hadoop Framework. This functions as the compute part (while the other center component is Storage as explained earlier). Map reduce offers a general purpose framework for the distribution of your work through various nodes and then the combination of the results for the purpose of getting the end results you desire. Map Reduce is also referred to as a programming model. The procedure of the `map()` helps in dividing your tasks over various queues, in a manner that each task can be autonomously executed. The procedure of the `reduce()` execute data summary from the individual nodes’ output, for the purpose of obtaining the end result of your task. Just as expected, a specific task may incorporate various stages of map reduce.

https://hadoop.apache.org/docs/r1.2.1/mapred_tutorial.html

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

Map Reduce