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Learner Reviews & Feedback for Tools for Data Science by IBM

21,530 ratings
3,326 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

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.

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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2176 - 2200 of 3,300 Reviews for Tools for Data Science


Aug 27, 2019

Great course, I feel I'm starting to get fun learning code :)

By Natchapol T

Jun 12, 2019

Cool course, give insight on the possible tools for newcomer.

By Juan D P

May 18, 2019

This course explores the IBM data science lab in a brief way.

By Mohsin S

May 11, 2019

Slightly mismatch between tutorial and IBM Watson Studio IDE

By Michael C

Oct 9, 2020

Generally good. Some spots that could use more explanation.

By alan f

Mar 25, 2019

It was an interesting introduction to some new tools for me.

By Azaliia

Oct 12, 2020

Thanks for the Course! It was pretty hard, but interesting.

By Wes

Jan 30, 2020

This is a great course to learn critical Data science tool.

By Philip K

Aug 26, 2019

Great introduction to open source options for Data Science.

By Roshan P

Apr 15, 2019

Good that It introduces various tools with the differences.

By Bruna T K

Mar 1, 2021

Very well explained and support is great. Would recommend.

By Vince T

Oct 13, 2020

Covered a lot of material, and it's an excellent overview.

By Arie D F

Jan 23, 2020

The course is fantastic, the video about R is a bit laggy.


Dec 27, 2019

Course is great to kick start your Journey in Data Science

By Артём П

Mar 18, 2019

Good, but why observing only IBM tools ? Looks like an Ad.

By Kimberly O

Apr 16, 2020

The lectures were not updated but the forums were helpful

By Yousef A H

Oct 18, 2019

Update the material with new updates on IBM waston please

By Arunjith M

Jun 2, 2019

Very poor content on Zeppelin for Scala. Others are good.

By Giuseppe M

May 4, 2020

good presentation, easy speaking, very funny. Thank you!

By Kelly D

Mar 2, 2020

I really began to understand the tools for data science.

By Spyros V

May 19, 2019

a bit of difficult to connect to Data Science Experience

By Govind D

Apr 1, 2021

GOOD COURSE- please add OJT Kind of Modules in Training

By Myles A S

Aug 9, 2020

An interesting and fun course. Possibly a bit too easy.

By Matias F N

Apr 22, 2019

It could use more practical examples, but great anyway.

By Shrey S

May 29, 2020

The content for Data Refinery could be improved a bit.