Download Udemy - Bash Shell Programming for Data Sciences: Animated 7.5 Hours torrent

Udemy - Bash Shell Programming for Data Sciences: Animated 7.5 Hours

Torrent:	Udemy - Bash Shell Programming for Data Sciences: Animated 7.5 Hours
Description:	Description WELCOME 2021 \| 7.5 HRS OF AWESOME VIDEOS! \| FIVE STARS ⭐⭐⭐⭐⭐ This is the most beginner friendly (animated and Linux terminal HD casts) Linux command line course on the Udemy platform. Itis specifically designed to show you how to use the Linux commands and Bash shell programming to handle textual data which can be a csv format data or systems log file. In this course you will learn Bash by doing projects. However, you need to understand the fact that Bash may not the best way to handle all kinds of data! But there often comes a time when you are provided with a pure Bash environment, such as what you get in the common Linux based Super-computers and you just want an early result or view of the data before you drive into the real programming, using Python, R and SQL, SPSS, and so on. Expertise in these data-intensive languages also comes at the price of spending a lot of time on them. In contrast, bash scripting is simple, easy to learn and perfect for mining textual data! Particularly if you deal with genomics, microarrays, social networks, life sciences, and so on. It can help you to quickly sort, search, match, replace, clean and optimise various aspect of your data, and you wouldn’t need to go through any tough learning curves. We strongly believe, learning and using Bash shell scripting should be the first step if you want to say, Hello Big Data! This course starts with some practical bash-based flat file data mining projects involving: University ranking data Facebook data AU Crime Data Text Mining with Shakespeare-era Play and Poems (Data sets and documentations are provided at the end of each section) If you haven’t used Bash before, feel free to skip the projects and get to the tutorials part (supporting materials: eBook). Read the tutorials and then come back to the projects again. The tutorial section will introduce with bash scripting, regular expressions, AWK, sed, grep and so on. WHAT’S NEW 2021? INTERACTIVE LESSONS @ SCIENTIFIC PROGRAMMING SCHOOL! Students purchasing this course will receive free access to the interactive version (with Scientific code playgrounds) of this course from the SCIENTIFIC PROGRAMMING SCHOOL (SCIENTIFIC PROGRAMMING IO). LIVE CLASS SERIES – BASH SHELL FOR DATA SCIENCES Based on your earlier feedback, we are introducing a Zoom live class lecture series on this course through which we will explain different aspects of Linux command line for Data analytics. Live classes will be delivered through the Scientific Programming School, which is an interactive and advanced e-learning platform for learning scientific coding. MONEY BACK GUARANTEE IF NOT 100% SATISFIED! When you enroll you will get lifetime access to all of the course contents and any updates and when you complete the course 100% you will also get a Certificate of completion that you can add to your resumé/CV to show off to the world your new-found Linux & Scientific Computing Mastery! So What are you Waiting For? Click that shiny enroll button and we’ll See you inside UDEMY EARLY ACCESS PROGRAM REVIEWS (5 out of 5 Stars): “This is one of the best course I have reviewed in Udemy. All the chapters are very useful. The instructor explained exactly what you need to use Bash as your data analysis tool in your pocket. I look forward more coursed from this Instructor. The instructor is very experienced, explanations are on point. Than you for creating a great course.” – Tarique Syed “The instructor was very engaging. Changed a boring, hard-to-understand tool into something usable and easy-to-use, all the while making it fun to learn.” – Prat Ram “Well done. Well – structured and explained course. Will definitely recommend the course to my course. From my point of view, everything was OK in the course.” – Sem Milaserdov “Overall, the course delivered what promised with a good resource for those who want to learn and do more. The course is filled with resource and the educator attached his own book on the subject for the learners.” – Afshin Kalantari “It’s a very well organized course, from the background, basic Linux cli which everyone should be to build data processing scenarios. wonderful class.” – Charley Guan DISCLAIMER We created here a total of one university semester worth of knowledge (valued USD $2500-6000) into one single video course, and hence, it’s a high-level overview. Don’t forget to join our Q&A live community where you can get free help anytime from other students and the instructor. This awesome course is a component of the Learn Scientific Computing master course. Who this course is for: Students who want to learn Bash and the command line to improve their career prospects Researchers who want to add Bash and other command line tools to their bag of tricks Scientists who want to learn to explore and analyze the data that their lab generates Journalists who want to polish their reporting by analyzing publicly-available datasets Anyone wants to deal with Big Data Requirements A Linux based operating system installed on your computer Last Updated 3/2021
Downloads:	248
Category:	Other /Tutorials
Size:	1.8 GB
Show Files »	Bash Shell Programming for Data Sciences Animated 7.5 Hours [TutsNode.com] - Bash Shell Programming for Data Sciences Animated 7.5 Hours 2. Tutorial 0 Linux commands 11. Find.mp4 (207.5 MB) 15. Cron.mp4 (115.8 MB) 16. Linux Commands Cheatsheet.html (0.2 KB) 12. View.mp4 (109.2 MB) 13. Sort.mp4 (106.5 MB) 3. Pipe.mp4 (104.5 MB) 1. Linux Terminal.mp4 (100.9 MB) 5. Files and folders.mp4 (95.2 MB) 7. Delete.mp4 (92.7 MB) 9. Edit.mp4 (91.3 MB) 14. Archive.mp4 (78.9 MB) 2. Redirection.mp4 (69.7 MB) 10. locate.mp4 (69.3 MB) 6. Wildcards.mp4 (54.5 MB) 8. Copy and move.mp4 (48.3 MB) 4. Alias.mp4 (41.5 MB) 3. Project 1 University ranking 7.1 unirank.csv (12.8 KB) 7. Project Dataset (Unirank).html (0.4 KB) 8. Bash commands quiz.html (0.1 KB) 6. Project documentation.html (0.1 KB) 1. Data preview (head command).mp4 (9.1 MB) 2. Find the colleges in the ranklist (grep, pipe and wc).mp4 (8.7 MB) 4. Finding the correlation between university tuition and ranks (tail and redirect).mp4 (8.1 MB) 3. Find the number of Institutes from a given and all states (cut and sort).mp4 (8.1 MB) 5. Demonstration.mp4 (4.5 MB) 6.1 pdf-project01-unirank-documentation.pdf (858.9 KB) 10. Tutorial 4 SED (Stream Editor) 1. Hello! SED - Stream Editor.html (2.3 KB) 2. SED substitutions.html (3.5 KB) 3. SED and regular expressions.html (1.3 KB) 4. SED delete, print and grouping.html (1.3 KB) 4. Project 2 Facebook 5.2 fbreactons.csv (176.6 KB) 5. Project data set (Facebook like and share data).html (0.0 KB) 6. Project documentation.html (0.0 KB) 2. Find the number of status and most popular status entry (cut, sort, grep, awk).mp4 (10.2 MB) 1. Data preview (head command).mp4 (7.6 MB) 3. Building a function to find the most vibrant Facebook status (Bash functions).mp4 (7.0 MB) 4. Demonstration.mp4 (6.5 MB) 5.1 facebookdata.csv (790.6 KB) 6.1 pdf-project02-facebookdata-documentation.pdf (663.6 KB) 7. Tutorial 1 Bash Shell Scripting! 16. Bash arithmatic operations.html (6.3 KB) 12. Bash conditional statements.html (6.0 KB) 7. Bash meta characters.html (4.5 KB) 15. Bash `loop` statements.html (4.1 KB) 5. Bash variables and functions.html (2.9 KB) 2. Hello! Bash.html (2.1 KB) 9. Bash read and store user input.html (0.3 KB) 20.1 pdf-bash-tutorial.pdf (122.4 KB) 8. Bash quotation basics.html (1.7 KB) 10. Bash redirections.html (1.4 KB) 18. Bash arrays.html (1.1 KB) 6. Bash command execution and passing arguments.html (0.8 KB) 20. Download the Bash shell scripting tutorials.html (0.0 KB) 11. Conditionals.mp4 (42.7 MB) 1. Bash Scripting.mp4 (41.1 MB) 13. Looping.mp4 (37.7 MB) 19. Project.mp4 (33.9 MB) 17. Functions.mp4 (21.9 MB) 14. Arithmatic.mp4 (5.8 MB) 4. Variables.mp4 (5.5 MB) 3. Hello World! Bash Shell Programming.mp4 (1.8 MB) 9. Tutorial 3 AWK scripting 4. AWK useful examples.html (3.7 KB) 3. AWK built-in functions.html (2.3 KB) 1. Hello! AWK.html (2.1 KB) 5.1 pdf-awk-tutorial.pdf (98.7 KB) 2. AWK Built-in Variables.html (1.7 KB) 5. Download the AWK programming tutorial.html (0.0 KB) 8. Tutorial 2 RegEx (Regular Expressions) 2. Basic Regular Expressions (BRE).html (2.9 KB) 1. Hello! RegEx.html (2.4 KB) 8.1 pdf-regex.pdf (105.3 KB) 5. REGEX look arounds.html (1.9 KB) 6. REGEX atomic groups.html (1.8 KB) 4. REGEX character classes.html (1.6 KB) 3. Extended Regular Expressions (ERE).html (1.3 KB) 7. How to use REGEX in Bash shell scripting.html (0.9 KB) 8. Download the regular expressions tutorials.html (0.0 KB) 12. Tutorial 6 Beyond the Text files (Big Data File Concepts) 2. HDFS - Hadoop Distributed File System.html (2.6 KB) 9. Spark.html (2.0 KB) 11.1 pdf-hellobigdata-concepts.pdf (64.1 KB) 10. HBase.html (1.7 KB) 6. SQOOP.html (1.4 KB) 8. Pig.html (1.4 KB) 7. Hive.html (1.2 KB) 1. Introduction.html (1.1 KB) 4. YARN - Yet Another Resource Negotiator!.html (1.0 KB) 3. Map Reduce.html (1.0 KB) 5. Flume.html (0.8 KB) 11. Download the Big data tools and concepts.html (0.0 KB) 1. Course Intro 3.1 interactiveshell.com.html (0.1 KB) 3. Interactive Shell.mp4 (9.8 MB) 1. Introduction.mp4 (6.8 MB) 2. Course Organization.mp4 (4.7 MB) 6. Project 4 Plays and poems texts 5. Project data set (Plays and poems data).html (0.1 KB) 5.2 plays_and_poems_stat.csv (38.7 MB) 4. Find the most frequent words by Shakespeare (Complex project).mp4 (10.2 MB) 1. Data preview (head command).mp4 (9.8 MB) 5.1 Shakespeare.csv (6.7 MB) 3. Finding playspoems by each author (complex example).mp4 (6.3 MB) 2. Counting PlaysPoems.mp4 (4.8 MB) 11. Tutorial 5 GREP and Find 3.1 pdf-sed-grep-find.pdf (83.9 KB) 1. What is GREP.html (1.9 KB) 2. Hello! Find command.html (0.6 KB) 3. Download the SED, GREP and Find tutorials.html (0.1 KB) 5. Project 3 Cities crime statistics 6.1 crimedata-au.csv (1.8 KB) 5.1 crimstat.py (0.6 KB) 6. Project data set (Au Crime data set). files
Added:	2021-04-15 11:04:12
Language:	English
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Release name:	Udemy - Bash Shell Programming for Data Sciences: Animated 7.5 Hours
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