Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

30,236 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

Jun 14, 2024

Great introductory course to show DS enthusiasts the multitude of available tools. Part of every solution is picking the right tool for the job, therefore this course is important to pay attention to!

Oct 16, 2024

Good Course overall focus in basic tools. the course could be shorter as someone who know which language who want to use and familir with the tools already shouldn't learn all the course materials

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2301 - 2325 of 4,959 Reviews for Tools for Data Science

By mahitha c

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Jan 29, 2020

It's great

By Juan C C R

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Jan 28, 2020

Excellent!

By Peter M

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Jan 20, 2020

Excellent!

By Usama A

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Jan 14, 2020

Excellent.

By Karinthip S

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Nov 10, 2019

Good class

By Mohamed A

•

Nov 7, 2019

Thank You!

By Kyrillos M

•

Nov 5, 2019

Cool stuff

By Aleksei E

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Nov 1, 2019

Very good!

By Carlos L J A

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Aug 20, 2019

Excellent.

By Oscar A T

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Aug 5, 2019

very good.

By Yilak G F

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Apr 25, 2019

Fantastic!

By 龚子轩

•

Apr 24, 2019

Excellent!

By Valentina F

•

Jan 31, 2019

excellent!

By Ahmed T

•

Nov 8, 2018

Amazing :)

By Diveesha M N

•

Dec 5, 2025

excellent

By Selva P

•

Jul 31, 2025

excellent

By Benjamin L

•

Jun 11, 2025

excelente

By Carlos E I S

•

May 17, 2025

muy bueno

By Juan C R M

•

Feb 24, 2025

excelente

By Miguel E G I

•

Dec 27, 2024

Excelente

By Xondamir M

•

Nov 13, 2024

impressed

By Nitin S

•

Aug 6, 2024

Big Help!

By tshahe m p

•

Mar 31, 2024

very good

By Taofeek O

•

Dec 14, 2023

Very nice

By Alejandro A D

•

Jul 7, 2023

Excelente