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Videos are outdated, so it is difficult to navigate IBM's website.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Some of the material (i.e. exercise instructions on tools) are slightly outdated but the course itself is a great introduction.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

A little outdated in some parts, but in general a good introduction to Jupyter Notebooks, Apache Zeppelin Notebooks and RStudio

I found the course to be quite heavy. I feel like there was a lot of information thrown at me but I enjoyed the hands on labs.

I felt this course could be designed a little bit better.

The Github and the IBM tools modules were pretty vague and confusing.

excellent training to familiarize with Data Analytics open source program tools and workbooks capabilities and functionalities

Great overview of the tools, would have had more hello-world-type assignments for all of the new software packages introduced.

Interesting, yet not perfect course. A lot of the video contents need to be updated, as well as the hyperlinks of the lessons.

Very useful to get an insight into the data science tool, however, practice is required to be done by those who do the course.

It was quite informative and has helped my pick up new skills like creating basic Jupyter notebooks using Python programming.

A broad a detailed description and introduction to the open source tool available, with a good basic guide on how to use them

Excellent, but the Watson studio video's need to be upgraded for the new user interface. Otherwise it would have been a five

I thin a few more exercises could be added to the course in order to make the course takers a bit more fluent with the tools