Learner Reviews & Feedback for Tools for Data Science by IBM

São muitos recursos e um mundo de ferramentas. O curso passa pela mais relevantes e propõe atividades práticas em cada uma delas. Muito bom ter este panorama.

Informative course: the course introduces Jupiter Notebook and R Studio. Good start to learn more about programming languages that are used in data science!

A great course especially for starting with Jupyter Notebook, Zapellin or R studio. IBM Watson Studio is definitively the most crucial aspect of this course

Awesome course. Lots of Learning. These free sources adds lots of ease to your work, its like everything tool you can think of is present in a single place.

Really helpful in terms of getting a knowledge about the main core technologies used in Data Science.I would recommend this course to the absolute beginner.

Course content was good, but IBM watson contents need to be updated and lots of issues while creating project. hopefully it gets resolved for other students

A very good course for anyone who wants an understanding of the opensource tools available for Data Science. I had a very good experience and learnt a lot.

It was helpfull to know which tools you can use, a small presentation of all of them. After, you have to find new tutorial to learn about them more deeply

This course help open a very broad area of tools to use for Data Science I had no idea even existed. I am thrilled and motivated to work on this even more

Excellent introduction to basic open source tools used in data science; however, the content needs updating since the UI of IBM Watson Studio has changed.

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.