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Learner Reviews & Feedback for Tools for Data Science by IBM Skills Network

24,397 ratings

About the Course

What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you'll learn about Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. You will learn about what each tool is used for, what programming languages they can execute, their features and limitations. With the tools hosted in the cloud on Skills Network Labs, you will be able to test each tool and follow instructions to run simple code in Python, R or Scala. To end the course, you will create a final project with a Jupyter Notebook on IBM Watson Studio and demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers....

Top reviews


Apr 12, 2020

It serves perfecty its aim that is giving a first glance of the open course tools for data science. Of course each tool is briefly touched and it hands over the student the duty to deepen each tool.


Apr 24, 2019

To the contrast of other reviews, I find the content very well bifurcated and fed to the learners. The course very easily digestable and I have had a great amount of fun learning it.. Go for it!!!!

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576 - 600 of 3,917 Reviews for Tools for Data Science


Jun 30, 2022

this is a great course to start with, a very approachable way to the data science professional

By Shahul H

Sep 5, 2021



By chetan

Feb 18, 2020

I was knowing about R and Jupyter note book and i was not knowing about the zepplien notebook.

By Polycarp N

Apr 2, 2019

Very exciting to discover and know there that such amazing open source tools for data analysis

By Dwi A M

Sep 3, 2021

This course give me a valuable insight about common tools data scientists used in daily task.

By Pablo J R

Sep 3, 2020

I have to go back and redo a test the system said I miss a test that was not true, not cool

By Haowen Y

Jan 27, 2020

Wonderful experience for the people who wish to have hands-on experience of IBM Watson Studio

By Kyle H

Jan 22, 2020

I think overall it's an awesome overview of the available open source tools for data science.

By Simonisa N S

Feb 22, 2019

Great course for becoming familiar with data scientist tools. Highly recommend for beginners.


Oct 17, 2018

Very intuitive and through introduction of tools needed to start the learning of Data Science

By Jamiil T A

Oct 6, 2018

Awesome , i love what an incredible online open soure for data scientist. Let's do something.

By Denzel A

Feb 19, 2022

This course gave me an understanding of other tools that I could use in my day to day tasks.

By Carlos F R

Jul 22, 2021

Excelente curso para aprender las bases de las herramientas para aplicar la ciencia de datos

By Deleted A

Dec 31, 2019

This was a great and informative course that tauught the basics of programming Data Science.

By Mauro M

Oct 16, 2019

loved this module . I enjoyed that it was very hands on and fun. cant wait for the next one.


Jun 25, 2019

Super Tools and Techniques and Cloud Infrastructure is good. IBM watson Studio is beautifull

By Govardhana

Jun 8, 2019

very nice course. It will introduce all opensource tools and platforms used for data science

By Kelli A

May 15, 2019

I enjoyed the hands-on activities in this course. Looking forward to more exciting ventures.

By Carlos P

Apr 14, 2019

A very good course for learning about tools required for Data Science and basic level usage.

By Jorge F A

May 6, 2021

Un gran curso. Una introducción a todo tipo de recursos ocupables para la ciencia de datos.

By Usman K

Dec 31, 2020

This course offers an excellent introduction into practical uses of tools for data science.

By Stacey M

Jul 4, 2020

A lot of good info, a few glitches but overall easy to follow. The final assignment is fun!

By Brock A

May 22, 2020

This is a good introduction to a scalable enterprise platform, record keeping, and sharing.

By Andrew S

Dec 11, 2019

Interesting to see some of the main tools I will be using. It makes it all a bit more real.

By R P K

Jun 20, 2019

This is really a well-organized course. Data science aspirant should enroll in this course.