Good stuff.

interesting

excellent!

Nice book.

Very good!

Completed

Excellent

excelent

Good one

Awesome.

Not bad.

great !!

Super!

Great!

Great

great

goood

GOOD

good

Good

Good

Nice

This is a a gentle introduction to the Unix command line environment covering the fundamental skills upon learners can build. For anyone considering taking the Genomic Data Science Specialization courses and not familiar with the Unix command line environment, "The Unix Workbench" is a good foundation. The inclusion of version control (git and repositories - both local and remote) plus cloud computing as remote development and deployment environments shows practical real world usage of command line skills.

I deducted one star solely based on the written narrative. While correct in its content the presentation was dry, in my opinion, if the target audience is novices or those with very limited exposure to the Unix command line. I am not a command line novice so maybe my critique is not shared by those in the target audience. Why did I take this course? The courses by instructors affiliated with Johns Hopkins University are consistently informative, practical, and enjoyable. It never hurts to refresh basic skills regardless of where we might be along the spectrum from novice to expert; I learn something each time. "The Unix Workbench" is a good addition to JHU's contribution to democratising education.

This is a great refresher course if you haven't used bash in a while. I'd rate this course as slightly above beginner; if you're entirely green to the command line, programming, bash I think you're likely to move slowly or get frustrated since there are no solutions to the assignments, and explanations are taken for granted for more elementary parts of bash and the command line. (The author has made his book available online for free, though, which will help.) The first few weeks are great and not only refreshed my knowledge but I discovered new options/flags for commands I thought I knew. The last few weeks are outdated and a bit of a disappointment with many typos and having to pay Digital Ocean to spin up a droplet (it is not free as the course says). However, for a course I didn't have to pay for (because of the NY Dept. of Labor) it was perfect.

I came into the course with some knowledge of the shell but the course really opened up my eyes to how to use some of the more advanced features of bash scripting. To get a five star review, I would have expected some more depth such as including sections on awk or sed. In addition, I would have really like to better understand how people apply these skills in the real world. Especially with the close ties to the Data Science certification (both courses being from John Hopkins), I would have expected to see how a makefile could be used to rebuild analyses or how sed could be used to do some in-stream processing. Bottom line: I'm glad I took the course but wouldn't pay for it as there's way more to learn.