学生对 IBM 提供的 Tools for Data Science 的评价和反馈

Clear and easy to follow course. very rich in resources and self-learning materials to sharpen your knowledge even if totally new to programming and data science

I gained a lot of valuable information with regard to the tools and scope of data science. With that, I now have more confidence in my data science profession.

I enjoyed this level a lot and am astonished by the capabilities of the Watson Studio. I am really glad that I can finally find my way on these powerful tools.

I found this course very useful. I especially enjoyed practice with new markdown tools in Jupyter which were very useful for creating well formatted notebooks.

As elementary as it could be, it's a great introduction to Jupyter Notebooks indeed. But starting from this, I could see farther the reaching of Data Science.

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.