The content is rich, but hard to follow along is you have some form of learning disability. I struggle with concentration, so only having to read works on a slide made it hard for me to follow along with the course content. I would advise you, preview and ensure that this content fits your learning needs.

The course is too dry and not contextualised, the only thing I was happy to have learnt is how to use Gibhut, that's quite hands on, however other parts are full of jargons that I am not even sure if they are relevant to me at all, and I can't remember most of them or understand how to apply them at all.

Material given in the course was not well stuctured. It took me 10 minutes to conspect some thesises in 7 minustes video, just because information provided in the following slides was chaotic. Finished this course in a few hours. But very well integrated ads of IBMs software, bonus star for it

While generally content was useful, video tutorials were created using outdated tools and with not much explanation or introduction to concepts. Some video tutorials were also used with a Mac, which leads to syntax variations. Week 3 felt like I was sitting through an IBM Watson advertisement.

Many of the videos are out of sync with the current IBM Cloud interface. Also some lessons start at a point but give no indication how to get to that same starting point.

I felt not much was gained from week 3. I learned more from IBM help docs and YouTube than from week three's materials.

I understand the purpose of this course, to showcase all the different tools a data scientist needs, but since this course is offered for beginner level, the vast majority of the concepts introduced in the lections serve no purpose in educating since we don't have the expertise to grasp it.

Confusing, curriculum not designed for beginners that don't have coding experience. You can get through it, get a certificate, and learn some stuff, but be prepared to Google a lot and watch other tutorial videos in order to pass the course quizzes, because the video lectures are terrible.

Well, that course is not that useless as the previous one in the specilization because now at least I got to know some tools. But still, most of the course is a waste of time, as all those tools could be described and linked as a part of some module in a more difficult and hands-on course.

The course bombards you with lists of tools used for data science. Despite that an overlook is usually useful when given as an, well, overlook, the details here are boring and will definitely be forgotten quickly. Also, several videos have nothing except the VO reading the on-screen text.

You really need to update the video to reflect how the latest versions of the tools look. Consider whether it is really necessary to have us sign up to 2 different cloud lab environments, surely one would suffice. Both these issues cause a lot of frustration as can be seen in the forums.

I felt a lot of the content was outdated (whether it was the names of software, or the screenshots they showed). I also didn't learn much from it, and felt it would have been more meaningful if we learned these tools in conjunction with doing more meaningful and engaging work with them.

The course provides some basic knowledge of the tools and platforms for a data scientist and how to technically use them. however, a third of the course is a technical guide for the use of an older version of the watson platform. basically a big portion of the course is a waist of time.

Course had a lot of content, that was great, but lessons and instructions did not match the software from IBM to be used. This wasted hours of time and added lot of frustration.

Please course owner, update these course so students can get the full benefit without wasted frustration.

The first two sections of this course are quite informative and well curated, but the third section is just one giant promotional video of IBM's tools, which for me does not count as a course, but as product placement, for which I am paying for. I am quite disappointed by this course.

Very brief. Although it's meant to teach tools for data science but the explanations are too quick. Assignments don't really explain why we are using those commands. So many tool names to remember without any explanation and how to use them. Very dissatisfied with this course. Thanks

Several of the questions were poorly written or poorly translated into English. Several of the videos providing instruction were outdated when compared to the current versions (IBM Watson). The peer grading seems completely subjective and inconsistent. This one could be improved.

One can learn very few out of this course. It flies across a lot of tools without letting the student to really touch on them, so one basically learns nothing. It feels more like the lecturers are showing off their knowledge of various tools but not willing to really teach anything.

If you used your Watson account for a different course and the subscription expired, it will not let you continue using the Watson account with a new free use key. A lot of the labs involve Watson on this, so the coursework was impossible to do without paying for a Watson account.

The videos introducing you to new tools like Jupyter and Github are SO BAD that it is basically just a man recording his own screen and rambling without a script. The video was not educational and not formal. It is worse than free Youtube videos that show you the exact same things.

Quality of support material is not good. The amount of tools presented is overwhelming, maybe should be considered to present them gradually according to the need of application, this would help a better understanding of functionality and the reall need of the usage of such tool.

Week 2 and 3 have lots of details about tools, that I have no context for.

Specially week 3 looks more of advertisement for IBM tools.

This could have been moved to different time in this course

Or at least dont focus as much on each program name and functions in the graded exams.

This was too much of an infomercial. Disappointed about the content. If I would have had a drinking game, where I would have a shot for each time IBM Watson Studio was mentioned I would not have made it through even 2 videos. I hope the next module has more substance to it.

While the course offers a good introduction to open source tools, this course and the whole specialization track is available for free on cognitive class.. And the badge issued by cognitive class doesn't say powered by coursera. So 2 stars for charging money for a free course

So much repetitive and unnecessary info which you will never use in the real-world if you do just do a Google Search about these tid-bits trivial. Quizs are pain to complete , just mad word-play. I don't even know why this portion needs to be included to get the certificate

This course was okay, but it definitely needs to be updated or redone. In the first lesson, there were a lot of spelling mistakes which makes me question the accuracy of the rest of the course. I did learn about the tools though, but will need to play around more on my own.