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 Several of the videos providing instruction were outdated when compared to the current versions (IBM Watson).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.

The content was informative. However, the page in the lecture was not updated, and it was not easy to follow the instruction since some instructions in the practice exercise was not clear enough. It will be better to have clearer, and detailed explanation and instructions.

This course probably needs to be later in the course series. For a beginner, it is an overdose of information and abbreviations. Also, a lot of time is spent explaining Watson studio than needed, especially for those who would rather code the analysis than use a GUI tool.

Too much focus on IBM provided software, parts of the course felt like I was training as a sales representative, with being graded on my knowledge of IBM products. Some of the questions in quiz's had 'joke answers', which is not what I'd expect from a professional course.

First couple weeks are interesting to see but not overly useful. Week 3 videos are horribly out dated, links are none existent or not working. Website for application doesn't appear to work half the time and it can be impossible to even complete the course in full.

Material seems outdated, and poorly informative. Too many topics are just mentioned without details, which is frustrating: I got the feeling that to have a minimal real understanding of the subject I had to do a lot of personal research outside of the course.

I'm quiting this course because they have a tedious methodology — they made me think DS is boring, so I'll look for another course to help me change this impression. It didn't catch me at all. The way the content is distributed looks like a patchwork quilt.

Silly questions that is primarily throwing in negatives in the statements or trying to trick you rather than assessing skills. The course primarily shows the UIs of the tools and its scope/what it supports and very little about open source tools as such

This course is like cooking something. If you’re not going to cook right now or later, it would be totally wasting time for reading the recipe. Because by the time you have all the material, you still need to read the recipe again before cooking

It seems there is something wrong when try to get a promo code and use IBM cloud (watson studio) system to finish the assignment, which disappointed me and cancelled the rest courses. It is really a pity that I really want to learn the course .

Not that helpful. Too much like an an introductory article on 'data science' as well as an ad for Big Data University. 2 stars for introducing somewhat helpful tools, but this helpfulness could have been achieved in much less course material.

Very informative for someone who is looking to start writing in code. Week 3 was very messy. Nothing was where it was advised on the videos which made them very redundant. A lot of time wasting and looking at discussion Forums as a result.

It's a bad course overall, IBM trying to sell their platforms. Also it's worth mentioning that all the videos of IBM Watson Studios are outdated.

It could be a lot better if they focus on the Data Science field and less in their own tools.

The IBM platform website looks to be updated. it would help if the videos were also updated so there is less confusion for students when they try sign up for an IBM account. Looks like a few students had issues from the discussion forums.