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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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2301 - 2325 of 3,580 Reviews for Tools for Data Science

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The course needs to be updated as the videos for the last module are outdated.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 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The course material are outdated that I had real struggle finding it online.

By SARVESH Y

Oct 13, 2019

there must be some hands-on experience for every tool which has been taught.

By Dhilma G

Aug 1, 2020

Too much of information packed in single course. Pretty hard for beginners.

By João A O

Apr 4, 2020

The course needs an update, since the tutorial resources have changed a bit

By Steven X D T

Mar 17, 2020

Course structure is good but the Labs has lots of issues / technical errors

By jiale l

Nov 3, 2021

Practice exercises were too simple for the quantity of information learned

By Saagar M

Jan 26, 2020

Good information regarding data science tools but few videos are outdated.

By Roderick W

Oct 7, 2019

The videos need to be updated to cope with the new Watson Studio interface

By Taha m

Dec 14, 2018

Should have elaborate little bit more about softwares and basic coammands.

By Ramasamy T

Dec 16, 2020

In 2 and 3 content placed impropriate and some of them not explained well

By SAURAV S

Dec 10, 2019

Introduction to these open source tools is well presented in this course.

By Nabamita

Nov 27, 2019

the demo tool version was not the same we used for doing final assignment

By Kevin D

May 24, 2019

A bit repetitive on the IBM Watson piece but a good overview nonetheless.

By Manjeet K

Aug 26, 2021

that is good but it wants more improvement in modules to identify easily

By Ajinkya K

Sep 19, 2020

Videos could be longer to help folk who have zero programming knowledge.

By Fidel B C B

Jun 4, 2019

Cuesta trabajo el ejercicio porque no esta cual como indica el ejercicio

By Deleted A

Apr 9, 2019

IBM Watson related content needs to be updated and be more comprehensive

By SHUO T

Oct 3, 2020

Week 2's quality should be improved, make it more friendly for beginner

By Juan P E C

Jun 17, 2020

Good course, explanation about Git Hub could have been more detailed...

By Shuyuan C

Jun 17, 2019

Very interesting course and you can learn a lot about Jupyter Notebook.

By Ahmad S

Mar 6, 2020

Please update the video content to suit the updated IBM Watson Studio.