Too much straight forward fact, on fact with list on list (hard to stay awake and focused on this because there wasn't anything to break up the facts or the list of tools).

Some useful explanation of how to use Jupyther/Github/R but also lots of time wasted on presenting, over and over, IBM's tools and some very poor quality videos for Github.

Week 2 was very poorly explained. I did enjoy looking at the IBM tools but there was far too much in such a short space of time - too much video made it less pleasurable.

The whole content of the course is very basic and online scratching on the surface. It could easily be integrated in another course and though could be more constructiv.

I give this course a 2. It was so difficult to sign into IBM Cloud. I got repeated error messages. The tool seems to have a lot of bugs and makes learning frustrating.

Videos totally outdated for the Watson environments.

Too much emphasis is put on the IBM tools, which are very complicated and have no value for learners in the field.

This unit should really be optional. Understanding the fundamental principles and tools of Data Science is one thing, shoving IBM products down our throats is another

Rushed through course explaining too many things without proper background knowledge. One section was advertisement for IBM tools which most of us probably won't use.

To me, this is just a presentation of online tools on cloud data storage. There should be more practical exercises from easy to hard to get used to with these tools.

The course was heavily focused on IBM tools but the depth of the lessons were just enough as a marketing presentation. Really few important topics were presented.

Course 3 is blatant IBM specific advertisement, so not good. But rest is good, especially course 2 with github. Please stop forcing us to use skills network lab

The course is not updated with all the tools and people spend a lot of time trying to see how the tools work.

Think more application exercise should be available

A few problems with IBM Developer Skills Network, specifically the Manage Data Tool and the Zeppelin Tool. Nevertheless, it was a good and interesting course

The course explanations and classes were poorly structured and took 10 times more time for me to understand the concepts. I give a low rate for this course

A lot of time, very little learnt. Two courses and only thing learnt was definition of Data Science and creating accounts. I hope this is going some where.

Too much IBM-centric, lots of problems encountered with IBM studio/cloud installation.

Good point: Professors are very responsive to problems of students.

Too much information about the different tools that can be used in Data Science. Very broad and at the end, I just learned a bit about Jupyter Notebooks

IBM Cloud is truly a mess, full of bugs and nothing works as expected which made it much more difficult to complete the course than it should have been.

Videos are super low quality. I understand that this is an IBM course, but don't really want to learn in details their Watson Studio, that nobody uses.

Course about Watson Studio is outdated. Students wasted time on project because of this. Since students are paying for the course, it is unacceptable.

It seems to be one big ad for IBM products, and I did not find anything very useful. It seems a bit like losing time than learning anything useful.

This course is not structured well and not great for beginners. You are introduced to a lot of tools without much context or actual instruction.

Have wasted quite some time in searching back and forth for the updated features on Jupyter Notebook due to part of the outdated course content.

The course materials need updating. The IBM platform has changed which has made it hard to maneuver the website and follow the directions given.

low level content. a combination of a few available IBM tutorial. The didn't even bother to change the names of the old platform to the new one.