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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2301 - 2325 of 4,955 Reviews for Tools for Data Science

By Peter M

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Jan 20, 2020

Excellent!

By Usama A

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Jan 13, 2020

Excellent.

By Karinthip S

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Nov 10, 2019

Good class

By Mohamed A

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Nov 6, 2019

Thank You!

By Kyrillos M

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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 19, 2019

Excellent.

By Oscar A T

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Aug 5, 2019

very good.

By Yilak G F

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Apr 24, 2019

Fantastic!

By 龚子轩

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Apr 23, 2019

Excellent!

By Valentina F

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Jan 30, 2019

excellent!

By Ahmed T

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Nov 8, 2018

Amazing :)

By Diveesha M N

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Dec 5, 2025

excellent

By Selva P

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Jul 30, 2025

excellent

By Benjamin L

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Jun 11, 2025

excelente

By Carlos E I S

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May 16, 2025

muy bueno

By Juan C R M

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Feb 23, 2025

excelente

By Miguel E G I

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Dec 26, 2024

Excelente

By Xondamir M

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Nov 12, 2024

impressed

By Nitin S

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Aug 6, 2024

Big Help!

By tshahe m p

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Mar 30, 2024

very good

By Taofeek O

•

Dec 13, 2023

Very nice

By Alejandro A D

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Jul 7, 2023

Excelente

By Hafiz N

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Jul 3, 2023

very good

By Ahmed I

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Jun 29, 2023

very good