Online Course
The Unix Workbench
Johns Hopkins University via Coursera
-
329
-
- Write review
Overview
Class Central Tips
This course is intended for folks who are new to programming and new to Unix-like operating systems like macOS and Linux distributions like Ubuntu. Most of the technologies discussed in this course will be accessed via a command line interface. Command line interfaces can seem alien at first, so this course attempts to draw parallels between using the command line and actions that you would normally take while using your mouse and keyboard. You’ll also learn how to write little pieces of software in a programming language called Bash, which allows you to connect together the tools we’ll discuss. My hope is that by the end of this course you be able to use different Unix tools as if they’re interconnecting Lego bricks.
Syllabus
-This week we'll help you get access to Unix (you may already be using it), and you'll start using the command line. We'll draw parallels between using your mouse and keyboard with your computer's graphics versus only using the command line.
Working with Unix
-Now we'll get into the power of different Unix tools. We'll walk through several scenarios where you could use Unix to perform tasks at a much faster speed than you would be able to normally.
Bash Programming
-During this week we'll unleash the command line's usefulness as a programming language. By the end of this week you'll be writing your own little computer programs that you can use on the command line.
Git and GitHub
-First you'll learn how to use Git, which is like "track changes" for your code and plain text files, but much more powerful. We'll then explore how to use Git with GitHub, a social coding network where you can publish you projects and explore other's code.
Nephology
-Finally we'll set up a cloud computing environment so we can explore how computers communicate with each other using the internet.
Taught by
Sean Kross, Jeff Leek, PhD, Brian Caffo, PhD and Roger D. Peng, PhD
Tags
Related Courses
-
Google IT Automation with Python
Google
-
Data Science: Foundations using R
Johns Hopkins University
-
Data Science
Johns Hopkins University
4.4 -
The Data Scientist’s Toolbox
Johns Hopkins University
3.3 -
Data Science Capstone
Johns Hopkins University
3.0 -
Executive Data Science
Johns Hopkins University
4.7
Reviews
4.0 rating, based on 2 reviews
-
Ray Berger completed this course, spending 1 hours a week on it and found the course difficulty to be easy.
This class is a pretty good intro to using unix tools like bash, makefiles, and git. Generally pretty clear but just a heads up there are no videos explaining the commands just short 30 second videos giving an overview of each week.
I'd say it's not worth paying for it but it's a good starting project to audit! -
Nikhil George completed this course.
The course notes are well written and gave me the confidence to adopt commandline on the PC (WSL), work with a Linux server and begin using GiTHub on the commnadline, with minimum effort. Not a bad place to start.