[40%OFF]Learn Data Science with Bash Shell Coupon-Educative.io

With Learn Data Science with Bash Shell you will get a 40% discount on yearly plans and a 20% monthly discount oneducative.io. It is one of the popular courses from educative.io

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– Developer Discount

With the exclusive Holiday discount, you can get a 20% discount on two years of access to educative.io which includes all the existing and future courses. Two-year access is just $199 after the discount. Lockin this price before it expires.

Get an additional 20 discount on the Learn Data Science with Bash Shell

Coupon: Use code devops at checkout

Also, you can get a 10% discount on all educative courses using the exclusive discount.

Coupon: Use Code Educative10 at checkout

Get a 40% educative.io annual discount

What will you learn from this course?

1. Course Introduction

1. Introduction
2. What is Bash?

2. Project 1: Analyzing the ‘US News’ University Ranking Data

1. Unirank: Data Preview (head, pipe and csvlook)
2. Find the colleges in the ranklist (grep, pipe and wc)
3. Finding the percent of colleges in the ranklist (wc, grep)
4. Listing the Institutes from a given state (grep)
5. Finding the number of Institutes from each state

3. Project 2: Facebook Data Mining

1. FB: Data Preview (csvstat, csvcut, head, cat)
2. Finding the number of status entry (csvcut, sort, uniq)
3. Find the most popular status entry (awk, sort, cat, csvcut, head)
4. Finding the most popular entry (Bash function)

4. Project 3: Australian Cities Crime Statistics

1. AU Crime Stats: Introduction
2. Data Preview
3. Row and Columns Statistics (sed, wc, head, cat)
4. Finding the top most crime in the whole country (sort, tail, awk)
5. Finding the top most crime per city (csvcut, sort, tail, awk)

5. Project 4: Shakespearean-era plays and poems data mining

1. Plays and Poems: Data Preview (cat, cut, head and csvlook)
2. Counting the Plays and Poems (head, sed, grep, wc)
3. Finding plays/poems by each author (sed, sort, uniq, head)
4. Finding the most frequent words by Shakespeare
5. Project Summary