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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
22,773 ratings
3,578 reviews

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

RR
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!!!!

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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2276 - 2300 of 3,579 Reviews for Tools for Data Science

By Bastian E

Feb 17, 2021

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

By Barkin 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 Sergiu P

Mar 22, 2021

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

By jeison l

Jan 21, 2021

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

By Md. T 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