A lot of information is thrown at you at once and really isn't explained other than that they are tools for data science. It would be easier to follow along if other random facts about them that aren't related to their purpose was removed.

I found some of the lessons hard to follow. The web page has been updated but the class has not. I still enjoyed the class and learned some valuable information but it would be nice if the data being taught was current with the webpage.

The course is rich in information, but in my opinion it shouldn't be the 2nd course in the IBM Data Science Professional Certificate. It should come later when students are more familiar with the different steps of data science projects.

The course did not present didactics at the same level as others Coursera courses. The mix of IBM tools for training in the same space as the service sales environment makes learning confusing. The exercises on the tools were very basic.

Good introduction to multiple data science tools and their integration with one another .

The instructions in many of exercises are not explicit and in some cases not complete. There is a lot of room for improvement with the exercises.

First part of the course was great, learned about tools and stages of the data processing. The end was overwhelmingly focused on IBM tools, which even depended on an IBM account that no longer worked by the time I finished the course.

The instructor could do a better job clearly explaining the topic and/or material, showing a step-by-step 'how-to' on tasks, and testing on what he teaches. There were instances where the quiz questions were not covered by his videos.

In general the contents of the course are good, however, I thinkg that there's too much time waisted in promoting IBM products rather than actually teaching some more introductory things about all the tools mentioned in the course.

Hi,

while it was good learning about the tools and platforms that exist, I was a little confused by the IBM Watson Platform that did not function that well. That was not the best experience, so I hope the creators can address that !

a large amount of tools which I think are not that necessary has been packed in this course . So it make learning a bit confusing to the learners as which tools are the best . Please remove the extra material which isn't necessary

Good course to understand the tool set and learn basics. However, the site used in the course is now updated which made navigation very difficult. It would serve the student to update these videos and make the most of their time.

Les première semaines sont pertinentes. Le IMB Watson Studio est très désagréable à utilisé. Le fait qu'IBM soit à l'origine du cours impacte très négativement la pertinence des informations et l'utilité que l'on pourra en tirer

They information in the course is generally very useful as well as the tools introduced. However, some of the videos need to be updated to match the latest version of IBM Watson Studio and specific guidance should be provided.

Very informative course but the instructor should update the videos related to the IBM Watson studio there is a lot of confusion as the video which are available shows the earlier version and currently the version is changed.

Watson labs in module 7 need to be updated to reflect current version of Watson. The rest of the course was great, but that part needs more attention. The instructions given in the labs did not match the screens in Watson.

There is a lot of unnecessary complicated things being explained about the Watson Studio during Week 3 and Week 4. That really needs to be toned down, as it is really difficult for a beginner to understand what is going on.

It's like a huge advertisement class for IBM. I want to learn some really skills and theory, not how to sign up for a IBM account, which is so complicated, almost took me half hour to figure out how to sign up this account.

The lab videos showed an out-of-date version of Watson Studio and following along with the instructor during the Github portion of this course was very difficult. I had to go to outside resources to understand the program.

This course gave us a good introduction to Jupyter, but the rest of it felt like an IBM infomercial to advertise their products. Not sure I will be continuing with this certification if the next course has a similar tone.

The content of this course was quite good, i enjoyed large parts of it. However, there were quite major problems with accessing different areas of IBM Watson that weren't intuitive enough and weren't signposted very well.

The course content is great.

The peer review part is not reasonable. The marking scheme is not totally matched for the assignment requirement and when other peers give biased grades, it is unfair to those students then.

A course that specifically focusses on IBM products. Somehow i was able to navigate with the interface but sure it could have been better. But understandable, its part of certificate and that the course is from IBM.

Would be great to have practical examples of different tools used, Week 1 has surface overview over different tools, but does not show how they look. So it is difficult to remember what each of them is used for.

Not a bad course if the student is brand new to data science / computer science / programming.

I felt I could have easiliy skipped this excepting that accounts needed to be set out for other course dependencies.

Although the core material is very interesting and well-explained, the fact that many of the tools needed in week 1 and 2, is making this course pretty frustrating if you don't know how to overcome this issues.