I feel very excited to gain more knowledge. It become very interesting as I go through each course. Thank you Coursera for your support and guidance.

It was overall a good course but it felt a bit outdated. I think it can be improved by including modern tools and not focusing so much on IBM Watson.

Good starting point into what Notebooks are, and what you can do with them. I only wish the assignments went more in depth into the tools and coding.

Good overview of tools that are used. Still basic information but starting to become more technical if you are apart of the IBM Data Science course.

Overall course was very short but it was good to know the basic knowledge of tools integrated with IBM Watson such as Notebook, RStudio, Spark.etc

A very good intro to the tools used in data science, good hand-on. The Data Refinery lesson could have been better explained, it was rushed thru.

The course material is not up-to-date as IBM Watson Studio is updated, therefore, all the steps are not valid anymore. It is very hard to follow.

This course is good but the tutorials for starting project in IBM Watson is outdated. Please upload latest tutorial as creating lots of confusion.

Some instructions on setting up an IBM Watson were outdated; getting started info versus what was displayed on the interface did not always align.

The IBM Data Science Experience videos need updating since its now IBM Watson. The interface is a bit different and I had to Google how to use it.

The Week 3 Watson Studio has video for the previous version - 'Data Science Experience'. I had difficuly in navigating through the Watson Studio.

Do we really need to know both Watson studio and Skills network lab?

Maybe it would be best to focus on one platform and explore it more in detail

IBM Watson has had many changes. The videos in this course when tackling this project does not match with the current IBM @Watson studio setting.

I love the source but I hope in the future it wil get more in dept. For a compleet novis like me it's not always as obvious as they make it seem.

I wish there were more labs and more elaboration as to how to connect these tools to daily activities or useful things to broaden understanding.

Curso interessante e globalmente bem estruturado, com detalhes suficientes para a iniciação nas ferramentas open source que foram apresentadas.

The content used to explain superficially IBM tools (who needs deeper and focused content for each one) could be replaced for more basis info.

Covered lots of ground. As someone without a CS background it was great to learn more about the tools and terms that are common in this field.

The course's contents are not updated to the changes of tools. I got some bad experience in this course and I had to deal with them by myself.

I really like this course and I think I have learned a lot. However, I don't like the peer-view system, because I have received unfair grade.

The IBM Watson module is badly out of date with the Watson website. Also I had a lot of trouble with the code to get a free Watson account.

The course gives a general description of data science tools, however, I expected the course to be more hands-on; it is a beginner course.

Too much promotion of IBM Watson. The third week is very optional and uninteresting, and it is also not connected with the final assignment.

The course is good but it would be great if the nomenclature of the cloud-based applications would match the current version of the toolkit!

Good introductory course but gives a very brief introduction about the tools. You don't really gain much skills after completing the course.