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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
30,158 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

JZ

Feb 8, 2024

Great explanations, appealing presentation, I'm just very grateful this kind of quality education is accessible over the internet. Great resource for anyone that has serious interest in Data Science!

AA

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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By Farah R

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May 18, 2020

Thanks!

By Kausar A

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Sep 28, 2022

Great

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May 30, 2020

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Feb 23, 2025

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Sep 12, 2023

great

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Aug 26, 2023

Good!

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Sep 5, 2025

nice

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Aug 13, 2025

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May 9, 2025

good

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Apr 10, 2025

nice

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Nov 24, 2024

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Aug 24, 2024

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By ADJEGUEDE A

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May 30, 2024

cool

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Mar 3, 2024

good

By 2303C 5

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Dec 4, 2023

GOOD

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Oct 17, 2023

Good

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Aug 18, 2023

Nice

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Apr 10, 2023

good

By Lizeth C

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Apr 29, 2022

Good

By dharshini t

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Jul 19, 2021

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By Gundlapally V S S R

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Feb 26, 2021

good

By Muhammad S A

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Sep 22, 2020

nice

By Taner ?

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Aug 17, 2020

good

By Chukwuemeka O

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Aug 12, 2020

Nice

By VISHNU T B

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Jun 26, 2020

Good