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.

This course was a little overwhelming in any sense for me. It went from zero to (at least) intermediate level. I don't think if you are like me (somebody without coding knowledge at all) would easily get this part. I find it real pity.

Content is pretty outdated and the user interface of the tools have changed a lot since then. Also it teaches nothing worth 3 weeks and only shows u different notebooks which could easily be taught while applying them in other courses!

Course feels rushed and does not really provides good quality material or useful instructions other than very rapidly presenting IBM's tools. Last week evaluation is simply terrible and unfair. Other platforms should also be allowed.

Not enough practical material, too much focus on IBM Watson Studio I have to opt for other courses to get a much better and detailed overview Audio is off at many times, some links do not work properly, especially for Watson Studio

Half of the course feels like marketing for IBM tools. In the rest, one learn how to launch tools, not to use them. Most of these are software development tools. The course really should ask students to write some simple programms.

the work jumped around a lot and was very confusing. I had to outsource a lot of material to help me out. This course is for people that already have knowledge of components in data science not for someone that has zero experience.