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

4.5
stars
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

GC

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.

AJ

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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2476 - 2500 of 3,918 Reviews for Tools for Data Science

By Ibrahim G

Apr 22, 2022

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

By Sergiu P

Mar 22, 2021

It gets confusing learning about all of the tools available, maybe touch on less.

By Jeison J L

Jan 21, 2021

Nice introductory course / would like that the first part be not so content dense

By Tanvir A

Jul 10, 2020

Informative but videos should be updated and should made more easy to understand.

By Arindam B

May 26, 2020

A great introduction to the amazing resources one could use on IBM Watson Studio.

By Rob B

May 11, 2020

Instructions need to be updated for new interface. Got confusing and frustrating.

By Ahmed A A A

Feb 4, 2020

the course was interesting with a lot to know but sometimes pages can't be loaded

By Abraham T T

Jan 30, 2019

It's a well prepared course but the links to IBM Watson studio don't work easily.

By Randell S

Jul 13, 2021

The course would be better if the video was explained by relevant professionals.

By ashish k m

Nov 18, 2019

This course provide overall idea of tools available for data science enthusiast.

By Fulvio C

Nov 6, 2019

Only the last week has some problems as the watson version online it's different

By Enmanuel M P

Sep 8, 2018

More real world problems would've been appreciated. Or more practical practices.

By Amir H

Sep 29, 2021

Good course, but felt a bit rushed for some IBM tools, especially Data Refinery

By DONGJIN K

Sep 26, 2020

Feedback is not correct from other student.

I'm a little bit disappointed in it.

By Francisco p

May 25, 2020

I guess the videos shown are a bit outdated with regards with some of the tools

By Jim C

Dec 5, 2018

Instructions are out of date with IBM Watson. Lite is no longer a free option.

By Mohamed H I

Jul 21, 2018

Good to have an over view on IBM notebooks like (Jupyter, Zeppelin and Rstudio)

By Alena F

Jul 6, 2020

Sometimes pactical-showes lessons was not really comfortable for understanding

By Abhishek V

Mar 30, 2020

In the information part course is awesome but the content needs to be updated.

By Roberto B

May 8, 2019

Nice introduction to the required tools needed for application in Data Science

By Noel D I

May 8, 2019

The course needs to be updated as the videos for the last module are outdated.

By Predrag S

Nov 19, 2018

Nicely explains all the Open Source Tools, but not updated for the new Watson.

By Amit A

Jun 16, 2022

A very well made course its just that last few videos were hard to understand

By 王一伊

Jan 7, 2020

I don't see similar buttons when using Watson Studio as the videos showed DSX

By Dony G

Dec 5, 2019

The course material are outdated that I had real struggle finding it online.