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The IBM Watson module is badly out of date with the Watson website.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.

the videos are a bit outdated, can be confusing! but the course gives a good overview of the tools & enables to get familiar, good exercise

Video lecture is something different with current IBM Watson Studio.

Please update contents with recent version of tools and configurations.

This course provides a lot of information to get you started, but not much hand-on work. Also, the videos are outdated by a couple years.

Too much theory, but practical exercises are easy. When telling about different software, it's very hard to remember all this information.

In my opinion the first three courses of the IBM Data Science professional certificate can be neatly combined into an Introductory course.

Great introduction to popular open source tools for data science. A great way to get started on the journey of becoming a data scientist.

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It's a good course, that helps you understand data science tools, I highly recommend it if you are just getting started with data science

The content is vast compared to the 1st course but if you have enough patience then you will enjoy this course and learn a lot from this.

This is the best course I have ever taken that explains the tool kits of a data scientist. Great thanks to the tutors, IBM and Coursera.

Some prior knowledge of programming is helpful for this course. Either that, or learn how to research for the information that you need.