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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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2451 - 2475 of 3,917 Reviews for Tools for Data Science

By Ewa H

Sep 12, 2018

Great course. One star less for all the difficulties with logging in to Watson Studio.

By Fiza M

Jan 17, 2022

I liked the course but at some steps the the explanations were not beginner friendly.

By Micah K

Oct 28, 2021

Watson studio has a different interface now compared to when this course was created.

By Saju F

May 22, 2020

good course for the beginners who want some hands-on experience in data science tools

By Srinivasa R S R

Feb 4, 2020

Course was well laid out. Systematic and detailed. helps any new bie to Data Science.

By Eugénio M

Sep 24, 2020

Some videos are not very clear, the sound is awful and the sequence is not adequate.

By Ninad M K

Jul 5, 2020

This course basically explain the tools for data science.And it is pretty much cool.

By Gisella B

Feb 25, 2020

Hay videos desactualizados en la semana 3 y me costó poder seguir las instrucciones.

By Tony L

Jan 20, 2020

High-level introductions of the common data science tools and analytics environment.

By Xiwen L

Oct 29, 2019

Nice intro to different tools. If only it gives more examples or exercises to drill.

By Nathan P

Oct 10, 2019

You will not really be using these tools in this course, they are simply introduced.

By Jozef M

Sep 1, 2019

I've learned about many data sources & created accounts where I can learn. Thanks.

By Thomas T

Aug 20, 2019

Good course, but a little bit unfortunate that the IBM Watson Studio changed design.

By Chris O

Sep 8, 2021

The audio on the videos was not consistent. On some videos, the audio was too low.

By Melissa k

Feb 4, 2020

some videos/ articles are outdated. please update, especially watson studio's part.

By Simpson I

Dec 29, 2019

It Gave me a good basic understanding of the open source tools used in Data science

By Aaron S

Feb 17, 2019

A lot of the videos, especially week 3, are not current with Watson Studio screens.

By Bastian E

Feb 17, 2021

Good course, very clear what to do. In week two might be too many tools presented.

By Baojing C

Jan 24, 2021

Many instructions are not correct, always make me confused, but anyway I passed it

By Dante S

Apr 27, 2020

All and all a good course, but there are a few courses that have confusing videos.

By Hong W

Mar 27, 2020

Good to learn some popular open resource tools especially for the IT dumb like me.

By Bruno G

Nov 23, 2019

Good overview for someone that would not know about opensource data science tools.

By Sucheta

Aug 8, 2019

Good course to understand open source Data Science tools. It gives a good insight!

By Javier R

May 13, 2022

Good overall.

Excessive IBM content.

The final exam has a strange set of questions.

By Ibrahim G

Apr 22, 2022

it was some how fast and lack of exercises to practice all contents of the videos