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.

Excellent course work. it can students and researchers to master data science easly. the materials provided and teaching methodologies are very good.

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.,

I enjoyed learning this course. It gives you a wholistic image of the underlying structures, processes and tools that are essential for data science.

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!

This course touches everything and more. It has all you need to know about the tools you'd be working with as a Data Scientist. Great course indeed.

Very interesting for beginners and it expose the learner to streams of tools that can use in the areas of DS, AI and ML. I had enjoyed it very much.

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.

Very useful, layout could be more clear, i.e., which modules to begin and progress through numerically. Some modules are more advanced than others.

Awesome course with best hands-on Lab experience! Awesome use of Data Science tools like development environments and GitHub repository experience!

the course is design very well. In this short course, i learnt lot's of things and it's truly appreciable to all the content designer and teachers.

Course was well prepared. Videos very helpful. Exercise questions also help to measure level of my understanding of the subject matter.

Thank you.

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.

Amazing Learning Experience, Coursera provides the best environment to learn at your own pace & time in the comfort and privacy of your own home.

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