I liked very much the content. I know is an easy course, but I'd like to see more of what can be done, the languages etc. Thanks IBM for all this effort!

This is very useful course because I am only know the tool like juypter notebook , but course tells me about other tools like zepline , R studio , Amzing

Muy recomendable, me encanto la oportunidad de poder hacer uso del Jupyter, Zeppelin, R en los entornos como el Skill Network Labs y el IBM Watson Studio

This course of Open source tools for data science was very helpful in knowing about the tools and technologies which are used in data science techniques.

Very informative course, It offers a gentle introduction to machine learning. And IBM has provided tools worth thousands of dollars for free to learners.

Very informative, organically designed, and has useful lab work to make a great start. I particularly liked the crisp content along with precise videos.

This was informative. I like the tools, as my computers usually can't hold many programs. Some courses are too focused on softskills. This was tangible.

This course taught me how to create Jupiter notebook and use it, very helpful as I'm just a beginner and don't know how to use Jupiter notebooks before

Nice overview of tools available. Regarding the usefullness and the power of the IBM Cloud i wish we would have digged much mor einto their solutions.

Great course! I learned the generalities of the tools available to start studying data science. And I had the opportunity to build a practical example

This course is really good and give basic ideas about various data science tools viz Jupyter notebook, zeppelin, R Studio IDE, IBM Watson Studio etc.,

This is an amusing course that helps to learn about how to the tools that's needed for data analysing ,data visulazition, in a word for data science.

I got the chance to actually use open source tools like Jupyter Notebook, Zeppelin, RStudio on IBM Watson Studio. The overall experience was Awesome!

I really liked this course. I had no problems at all. I also liked Romeo Keinzler. But, I think this should be labeled an Intermediate level course.

Very interesting because most of the course based on practical. We started to use 4 different data science platform free and practice. Thanks a lot.

This provides a succinct and brief overview of some of the biggest open source software out there, including Python, RStudio, and Jupyter Notebooks.

Very cool course introducing you to open source environment where you can analyse your data sets, learn and practice, and deliver as data scientist.

A great material to get familiar with Watson studio, which combine many kinds of languages. IBM cloud is also a good place to hands-on your project.

This is a good course in order to be familiar with different parts of data science and relevant tools and application. For me that was amazing! :)

Very good and interesting course , you can put your hands on real tools for data science and learn a lot about this tools to apply to your career.

The course is made in very simple language, anyone can learn from this course. The most amazing part of the course is Lab. Love you IBM & COURSERA

Happy to learn the tools that were somehow new to me. It was great to practice as well and good explanation of tools were provided by instructors.

The IBM platform seems was updated and not the same as the description in the course video, if there is an updating it would be perfect. Thanks.

This Course is very important if you want to learn for data Science tools, there are the best tutorials here about the explanation of the Tools

Videos are outdated, as well as its very hard to figure out that how to work with Watson studio, because there free version is full of issues,