Bash Shell Programming for Data Sciences: Animated Course
What you'll learn
- Use Bash to quickly sort, search, match, replace, clean and optimise various aspect of a data set
- Use bash in processing real-world data sets (included)
- Use Bash commands and scripting
- Use Regular Expressions (RegEX) in Bash
- Use AWK programming language commands to tweak and format data
- Use SED and GREP to quickly search in large-scale data sets
- A Linux based operating system installed on your computer
THIS IS THE BEST, MOST INNOVATIVE AND THE HIGHEST RATED AWARD WINNING LINUX COMMAND LINE COURSE (ANIMATED TUTORIALS & LINUX COMMAND LINE HD SCREEN CASTS) ON THE UDEMY PLATFORM. AWESOME FIVE STARS ⭐⭐⭐⭐⭐ VIDEOS OF 7.5 HOURS, ALL UPDATED FOR THE 2022.
This awesome course is 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!
Also Featured on! popular Data Analytics Portals! Towards Data Science, Code Burst, Devto and so on.
This course starts with some practical bash-based flat file data mining projects involving:
University ranking data
AU Crime Data
Text Mining with Shakespeare-era Play and Poems
(Data sets and PDF text documentations are provided at the end of each section) + Free interactive playgrounds included!
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. 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). 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. 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.
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
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
The Scientific Programming Instructor Team helps you to learn the use of scientific programming languages, such as CUDA, Julia, OpenMP, MPI, C++, Matlab, Octave, Bash, Python Sed and AWK including RegEx in processing scientific and real-world data. The teamed is formed by PhD educated instructors in the areas of Computational Sciences.
Scientific programming is a rapidly growing multidisciplinary field that uses advanced computing capabilities to understand and solve complex problems.
The Scientific Programming School, with 50,000 students is an awesome e-education start-up initiative to provide professional training and practice courses for Scientific Coding, Linux, and Big Data. It is also an interactive and advanced e-learning platform that gives you the opportunity to run scientific codes/ OS commands as you learn with playgrounds and Interactive shells inside your browser. Scientific Programming Instructors specialize on Linux, Devops, HPC and Data Science coding with scientific programming. Currently we support three OS (Ubuntu, RHEL and SuSE) and 50+ programming languages including the commercial ones like Matlab. At the Scientific Programming School you start learning immediately instead of fiddling with OS, VMs, SDKs and/ IDEs setups. It‘s all setup with Docker on the cloud.