Although the course is nicely put together, I found several shortcomings with it

1) There is some inbalance in week 1. Though the whole course is really simple, the part on SSH and portforwarding, especially also in the lab assignment was complicated

2) Because of my confusion in the lab assingment in week 1 I posed a question in the course forum. Unfortunately I did not get any response (no email anyway). Communication is for online courses key. That such was lacking here I found really disappointing

3) There is a lab assignment in (I believe it was) week 1 that is literally repeated in a later week

4) From week 3 onward the lab environment was missing linux commands like 'vim', although the instruction was to use 'vim'. In fact there was no linux editor at all, but the lab editor itself (which is ok of course, but then don't say we should use 'vim')

5) One of the instructions in the lab of week 4 was downright false: it said to count the uniq occurrences, but it really did a count of the bytes involved. I believe the word was SUN, so 4 bytes including the EOL character, so 4 * the total number of SUN

6) One last but important problem with the course: lack of stimulation. All the questions are way too simple, and practically all questions are already pre-answered.

The instructors definitely know their stuff but 'instruction' requires more than knowledge or how to apply a template formulated by supposed education specialists. As an example, there was a lot of "...you can do this... and you could do that... and take a look at this and... " when what was needed was "... SSH stands for secure socket shell... " and "...it is called 'shell' because these environments are considered the 'outer-most' shell of the computer operating system which in this cas..." bla bla.

There is a reason why people who want to teach professionally go to school and learn about 'learning' and how humans learn things. Students reported errors (I too found some) - big and little ones.

Be prepared if you take this and these other Duke Data Engineering courses to do a lot of figuring out of stuff on your own.

Crowd sourced grading is not a good way to maintain and encourage ACCURACY at all. That's not a good use of such.

This course is needed but the course itself needs to be changed to reflect standards in learning and training.

If this course is intermediate, I am a Linux guru (spoiler: I'm not). I audited the entire thing (most of it sped up) and there were some nice tools and tricks I didn't know about, but it really didn't go anywhere near the level of detail that would be required for it to be useful. For instance there are tons of times different tools are used with flags and those flags are never explained even though they are critical to understanding the observed behaviour. I wouldn't recommend spending the time on this.

While this course is informative. I do not find that the skills stick too well. There are no turn in assignments to better help understand the material.

Really good intro that takes you from novice to advanced beginner (one would need more practice to reach intermediate user). The only thing I would change is the labs. They provide you with the answers without giving you an opportunity to figure out the solution. We learn best when we have to recall information so this was a missed opportunity for better learning. Even with this minor detail, this was an amazing course with an amazing instructor.

Overall, great, passionate instructor. He knows his stuff, exercises are great. Biggest way this course can improve is the order of difficulty and concepts. Basic things are explained in week 3 and 4 while it is assumed that you know in week 1 and 2. Weird. Still, I think its the best linux course on coursera. Glad I took this course.

As a Data Scientist, I wanted to refresh my knowledge of bash scripting for data engineering. I was delighted by the curriculum and the instructor. It took me a few days to complete the course. This is an excellent course.

Good content with easy to follow labs. I especially liked the video tutorials that showed various cloud platforms where the instructor illustrated the similarities and differences between them. Learning Bash is definitely a benefit for any data scientist; it's like having a swiss army knife!

Really a great course. Builds a solid foundation to quickly utilize more features of the OS and command lines. You may know many of the commands but it will really build on what you know and make it much easier and faster to get your work done. Highly recommended.

This is an excellent course. I learn a lot of practical skills. I learned Data science courses from UMICH and UCSD, but they focus on programming in notebook. This course fills the skill needed in cloud. Thank you Noah!

A nice intro to Linux and Bash system, application, and their role and power in the data processing. These emphases surely will make learners want to learn more about these systems.

The instructor is Perfect. I am so much happy to take this course. There many nice points for learning even for those who have a background in Linux.

the quality of the recordings are sometimes mono but the quality of the content never loses step - very thorough

Great course in learning on how to use Bash scripting when it comes to Data Analysis/Engineering.

The teacher was so great. Kudos to him. He showed complete command of the course.

So useful and so easy to understand. Thx for the nice instruction technique!!

Good course! This course is basic Linux and Bash for Data Engineering.

Clear, practical, and perfect for data engineering. Highly recommend!

It's very simple and fundamental course for every Python developer

very fit for purpose for the modern data engineering skills