Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

30,217 ratings

About the Course

In order to be successful in Data Science, you need to be skilled with using tools that Data Science professionals employ as part of their jobs. This course teaches you about the popular tools in Data Science and how to use them. You will become familiar with the Data Scientist’s tool kit which includes: Libraries & Packages, Data Sets, Machine Learning Models, Kernels, as well as the various Open source, commercial, Big Data and Cloud-based tools. Work with Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. You will understand what each tool is used for, what programming languages they can execute, their features and limitations. This course gives plenty of hands-on experience in order to develop skills for working with these Data Science Tools. 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. Towards the end the course, you will create a final project with a Jupyter Notebook. You will demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers....

Top reviews

Aug 29, 2020

This course is awsum and well explained. Some portions needs to be updated based on the current platforms. i.e Lab instructions should be inline with the current screen, e.g. Watson Studio.Thanks !

Aug 16, 2022

The course contents are verry good and well structured except that Watson Studio tools and services options need to be explaind more, specially those used in the lab steps or explained in the videos.

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3651 - 3675 of 4,955 Reviews for Tools for Data Science

By Paulo H S D S

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Jul 8, 2022

Great Job!

By TATENDA Y G

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Feb 11, 2019

Haaa heavy

By Krishna K

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Aug 8, 2025

i love it

By Md. T I

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Nov 6, 2023

very good

By Nguyen V T

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Jan 5, 2023

it's good

By Tuấn N

•

Jun 15, 2022

Very Good

By Satishkumar M

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Jan 4, 2020

eXCELLENT

By Iliass B

•

Oct 24, 2019

well done

By Axel L

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Sep 27, 2019

Outdated.

By MANIK G

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Mar 22, 2019

very good

By Héctor E R

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Sep 7, 2021

excelent

By akmal t

•

Jun 6, 2021

Love it!

By Debakanta S

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Feb 4, 2020

its okay

By mohdshahrin b

•

Dec 19, 2019

Great!!!

By Akash M

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Nov 24, 2019

loved it

By yelamanchili v r

•

Jun 16, 2020

average

By Farah R

•

May 17, 2020

Thanks!

By Kausar A

•

Sep 28, 2022

Great

By Md M R K

•

May 30, 2020

Thanks

By Lewis W

•

Feb 23, 2025

Great

By Mohamed G

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Sep 12, 2023

great

By Sahil R

•

Aug 25, 2023

Good!

By 2782 _ K .

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Sep 5, 2025

nice

By OMAR A P G

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Aug 12, 2025

Nice

By prema k

•

May 8, 2025

good