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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
22,430 ratings
3,505 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

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.

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!!!!

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2226 - 2250 of 3,508 Reviews for Tools for Data Science

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 Anthony 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some videos/ articles are outdated.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 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.