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

24,406 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.


Sep 15, 2020

Absolutely Loved this course!! Challenging at times to keep up with all the terms and processes. The course provided great insight into Data Science. Would highly recommend it as your first course.

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3201 - 3225 of 3,918 Reviews for Tools for Data Science

By Chattarin W

Jul 27, 2020

Some workshops are quite skeptical, thus making the learners loss their comprehension

By Aburvaa R

May 31, 2020

The explanations were not beginner level. Most of the things sounded Greek and Latin.

By Vasant C

May 25, 2019

ibm watson has to be updated. There are several updates it missing in current course.

By Ufra N

Oct 9, 2020

More like an advertisement for IBM tools rather than teaching fundamental knowledge.

By Ashwini K

May 28, 2020

The lectures are outdated with example .I would suggest reviewing it more frequently

By Karan S

Apr 6, 2020

The IBM materials are not up to date . It will be good if the materials are updated.

By Rafael M F

Apr 5, 2020

Great videos and lectures but some online resources were unavailable or not updated.

By Saurabh

Oct 23, 2021

Lot of topic left uncovered. I find difficulty in some topic due to less detailing.

By Pavan J

Aug 25, 2021

This Course has high language of teaching, I mean beginners won't understand easily

By Kateryna T

Feb 16, 2020

It requires to register in different tools outside the coursera to proceed further.

By Mohammad A

Aug 10, 2020

More Practical Use of Tools instead of their info would have been more appreciated

By Wesley v W

Jan 29, 2020

Videos are out of data and the navigation is different from video to new software

By Eric S

Jan 20, 2020

Videos need to be updated to reflect what is currently live in IBM Watson Studio.

By Deva R

Oct 22, 2020

It's not as good as the first course. i think it really needs reading materials.

By Michel R

Mar 23, 2020

Interesting course that will introduce with the existing data science platforms.

By Prabanjan C

Jan 22, 2020

Tools seems to be outdated, videos are not aligned with the IBM's cognitive lab.

By Ana C O W

Jul 7, 2021

Muchas cosas toca pagar, y es muy teórico, seria chévere que fuera más práctico

By Amine E

Aug 1, 2022

Could be better , confusion between using IBM cloud and the IBM skills network

By Ettore M

Oct 19, 2020

In my opinion it should give more info on basics of languages/libraries usage.

By Ian M

Jul 5, 2020

I think this course was to focus on IBM Watson studio and not on data science.

By Maria J J A

Jun 23, 2020

It was not as engaging as I expected, too much theory and very basic practice.


May 31, 2020

week 2 was very unstructured and difficult to follow, refer to feedback given.

By Richard S

Feb 19, 2020

Good course but some of the videos are out of date as the software has changed

By Noor A

Nov 11, 2019

IBM Watson Studio sign up video should be updated accordingly with the updates

By Adhith R P

Apr 3, 2020

Unable to access Zepellin notebooks and could not do the practical excercises