It was really interesting but sometimes it goes into irrelevant deteails making it pretty dense. It should go strainght to the point.

Very hands-on, could have focussed a bit more on different tools (like hadoop, apache spark etc.) rather than frameworks to code in.

Sometimes was complicated to follow the instructions and they were not matching each other in the course and IBM Cloud, but anyway...

Good course , gives insight about the tools , libraries that data scientist uses ane prefers and gives hands-on tutorial on the same

It was a good course, I learned a lot of new things, but some videos and information need to be updated because they have problems.

This is the first time I am familiar with the tools that are used in data science, The information was quite extensive as a newbie.

This course is very well balanced helps us to used Skills Network lab and IBM Watson studio and help us to learn various notebooks.

This should be a great first introduction to someone that doesn't know where to code and is the first time using one of this tools.

Didn't give 5 just because there are some difficulties to login to your Watson account page sometimes. Otherwise it's really great.

It is overall a good series of modules, but the tools and concepts discussed may be too many for a beginner to digest all at once.

It would be much better if the labs cloud were open source. I could not use the code for IBM and lost the opportunity to exercise.

Course was good, but teaching materials reference older version of Watson Studio, discrepancy between versions is a bit confusing.

It was a little bit tasking for nme considering I don't have a computer science background but I enjoyed the course all the same.

Some sections are more dedicated to IBM tools rather than comparing the tools available in market and taking about the best ones.

This course teaches you to use many open source tools that too without having to download and setup any software on your machine.

Videos are outdated, so it is difficult to navigate IBM's website. The overall material is pretty good for a simple introduction.

This course gave a good introduction to open source tools which are currently being used in the market for data science purposes.

I appreciate IBM created this class. But the IBM Watson part is really boring....whole week spent on IBM product is too much....

The content is practical and instructive. Update the content of IBM Watson section with the latest version would be more useful.

It was a little confussing that the coursera material did not match the IBM cloud exactly - The could seem to be in development.

Great overview of the open source tools available to practice Data Science with as well as an overview of an Enterprise Version.

A fair description of useful Data Science Tools. Although dedicating an entire week for proprietary IBM Tools was uncalled for.

Awesome course. The only downside is the command line git hub vídeo tutorials. It is no very clear and has missing information.

Some of the material (i.e. exercise instructions on tools) are slightly outdated but the course itself is a great introduction.

Even thought the course content is interesting, videos provided are not updated, making the learning experience a bit confusing