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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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551 - 575 of 3,918 Reviews for Tools for Data Science

By Ismail K

Oct 1, 2018

Really informative course for the beginner to learn about the free tools available for data Science

By Parth P

Mar 11, 2020

Very well explained...

It will help in clearing doubts about tools and technology available for ML.

By Alessandro J d S

Aug 28, 2019

Muito didático, vai aumentando o nível de dificuldade de forma gradativa e confortável. Recomendo.

By Amar K

Jun 25, 2019

instructor is very good. Explaining all the concepts very clearly and pace of course is also good.

By Rohan P

Jun 14, 2019

Great introduction to the Skills Network Lab. Also, the quizzes and assignments were interesting.

By Congcong X

May 30, 2019

Good introductory to various open source tools with examples. It's not overwhelming for beginners.

By E.V.Phaninder

Apr 21, 2019


By Lisandro O

Jan 9, 2019

Very nice and interesting course. I learned a lot about the tools required to work in Data Science

By Charles D M

Jun 22, 2021

G​reat overview of both open source and proprietary tools for data engineering and data analysis.

By Prasad T

Jan 27, 2021

though excellent teaching video need to be 1080p and some video needs to increase their volume .

By Umer H

Apr 7, 2020

The purpose of course is to introduce the tools for data science and it rightly serve the purpose

By Deepak S S

Apr 4, 2020

A very good step by step procedure and explanation, how to use Jupyter Notebook in Watson Studio.

By Rahul

May 20, 2019

Perfect course for the begenners .It introduces to different work spaces.Watson studio is awesome

By Mahmood H

Feb 19, 2019

This course is structured well, easy to understand instructions along with step by step guidance.

By Deleted A

Sep 6, 2020

I wish to unenroll Fromm this course, eobi could apply for another due to very personal reasons.

By Iwan J

Mar 28, 2020

Good article and video content and just the right amount of writing code to make it interesting!

By Ronan P d S

Jan 14, 2020

That was an amazing course. The tools that I've learned is very useful. Thanks Coursera and IBM.

By Sharyar V

May 1, 2019

Amazing learning material. Very detailed curriculum designed for students to learn with concepts

By Praveen K

Feb 23, 2019

Developed preliminary understanding of open source tools used in data science. Good for a start.

By Pothukuchi S

Apr 13, 2021

Great course to have hands-on when interested to learn different tools that handle data science

By José A E L

Apr 9, 2020

Curso bastante informativo para el uso de herramientas open source en proyectos de data science

By Amit L

Jan 21, 2020

Excellent course to get hands on experience on open source tools available for data scientists.

By Debashish S

Sep 8, 2019

Thanks to coursera and IBM for letting me this opportunity to take a step forward data science.

By Evanivaldo C V

Jul 17, 2019

It is an excellent course for people with zero experience in this field, absolutely recommended

By chris z

Mar 20, 2019

Learned a lot about the different open-source data science environments and their capabilities.