This course is very well constructed and very informative. A very good course that provides systematic information to beginners. Some of the contents and explanations are a little dry, the instructors can consider making it more fun and easy to understand for learners.

Since there was no one to one interaction for major part with any instructor, it got little dizzy to understand the working of the tools but however, I completed the course and learned to use these tools, as it comes out, practice is the key.

Thanks Coursera for that.

Good course, but some of the videos need to be updated as they don't follow the current layout of IBM Watson. The one upside to that is it makes the student have to hunt for the links and having to do that makes the student retain the locations of links and options.

IBM Watson studio has been updated and the tutorials are not helpful enough to get started. It took me an hour to figure out how to use notebooks in Watson studio. It would be more helpful, if tutorials are also updated according to the updated IBM Watson studio.

A good overview of popular data science tools. In a couple of the videos, I would have liked there to be more original content, rather than just reading the text off of the websites. Still, the course gave me a quick idea of what is out there. Still lots to learn.

A lot of the information and navigation was outdated. IBM Watson Studio does not really return errors, so in case what you see deviates from the course material and you can't progress, there's no help specifically on Coursera. Otherwise the course is quite good.

The Zeppelin Notebook part was not impressive, could be cause of the instructor or either the notebook is built so. I have to practice Zeppelin a lot again to get a good feeling about it or even better, completely ditch Zeppelin for Jupyter or IBM Watson Studio

It was a good course. Great understanding received on Jupyter Notebooks. However please update your videos and learning material some of it is still outdated and confusing. Also RStudio IDE can be taught a lot better. I am still not very well oriented to that.

This course is pretty good but there are a lot of stuff that is not releveant anymore/outdated. For example Data Science Experience doesnt exist anymore and it was quite challenging to follow the videos when you dont have the same interface as shown in video.

The course conveys exactly what the title says. Unfortunately the IBM Watson Cloud does not allow access with all email accounts. So it would be better to look for more open alternatives. Fortunately the business email did work, so I could finish the course.

I really liked being able to play around with some of the tools, but please, please update the names so that the videos/tools/assignments are unified. It became very confusing trying to figure out what they were talking about because the tools changed names.

It is an awesome course however, I'd like to learn more about Data Science Tools rather than IBM Watson Studio's featues and specialities. I understand that you should advertise your tool but 80% of the course is basically a tutorial for IBM Watson Studio.

Everything is interesting and nice

But the videos and tasks are not updated. So spend to much time...

Disscussion section helped a lot and thanks for it.

My sujesstion would be to inform in advance that all things are a bit different in videos than in reality

It has a lot of information which is great but hard to mentally process, mostly for newbies on the tools like me. Some instructions for the Labs are outdated or incomplete.

There were a couple of videos that didn't have a transcript which are very useful.

This course required a basic level of coding which I wasn't expecting, but was informative. Some of the videos are a bit outdated with instructions that don't match the current workflows of IBM Watson. That's the only reason I'm not giving it five stars.

It was a good course but some of the details were missing such as in RStudio practice, no explanation was provided regarding the codes which we are supposed to copy and paste on our local computer RStudio program. Similarly, it was in the Git console.

There is a lot of good information here. A great course explaining the basics of some tools that will be very useful in the future. The only negative is that some of the videos were outdated and showed demonstrations on older versions of websites.

This course has lots of very good contents, concepts and lab sessions. But time alloted to complete is less. As a learner, I feel, more time is required to actually learn this course and given time is only sufficient for READING the course topics.

Hello Everybody,

This course is great, i learned some tool that i have never even listen obout them. But there are some videos outdated and it can make the expirience a little bit confuse. But with a little patience its possible to got through it!

Excellent course on knowing the basic tools involved in data science. However, towards the end of the course, they kept the theme very IBM oriented and not general. Like using only IBM tools to do the course exercises. The rest were all very good.

This is very good course actually. I learned many things about the tools for analysis and also practice forward through the application. But sometimes several students cannot register for cloud or notebook service, I hope the developer can fix it.

The content was useful, but the quizzes/exam seemed to have certain instances of questions being less about knowing the tool and how to use it, and more about whether you retained every specific word said in the videos. The tutorials were useful.

Some of the instructions were not so clear/outdated, but the teaching staff were pretty timely responding via the discussion forum. A few things were not covered in the reading/videos so I had to do my own research to answer the quiz questions.

The "Week 3" module appeared to not have been updated and caused some confusion and issues with the final project. The discussion boards made it more confusing too.

Good and clear information in the first two weeks which is why it got 4 stars.

Great videos, Great start to the field of data science. Great review of the tools that would be used in this field. Suggestion: There should be more hands-on practice of the tools instead of explaining as it was done in some of the videos. Fo