Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

30,126 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

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!!!!

Apr 12, 2020

It serves perfecty its aim that is giving a first glance of the open course tools for data science. Of course each tool is briefly touched and it hands over the student the duty to deepen each tool.

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2376 - 2400 of 4,932 Reviews for Tools for Data Science

By Jingven S

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Dec 27, 2019

Nice One!

By Sanjeev s

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Dec 16, 2019

Excellent

By em F

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Nov 22, 2019

Excellent

By Sourav S

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Nov 3, 2019

Thank you

By Omar B

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Oct 23, 2019

very good

By Naveed S

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Sep 21, 2019

excellent

By iyyanar

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Sep 18, 2019

Very Good

By Josemar T M

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Aug 23, 2019

Muito bom

By Ricardo D R A

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Aug 11, 2019

Very good

By Yash A

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Aug 3, 2019

loved it.

By Priyadarsini P

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Aug 2, 2019

Very Good

By Shagal A S

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Jun 29, 2019

Excellent

By Gabriel

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Jun 18, 2019

EXCELENTE

By Deleted A

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May 16, 2019

Excelente

By Lee-Roy T C

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May 7, 2019

excellent

By Taswek, M M R

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Apr 4, 2019

very good

By NADIM M

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Jan 16, 2019

Very good

By amr s

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Jan 15, 2019

Wonderful

By Sushant G

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Dec 7, 2018

vERY Good

By Piotr M

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Oct 8, 2018

Very good

By Maria

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Sep 21, 2018

Excellent

By SEVINCH C A

•

Jun 18, 2025

perfect!

By Vũ X N

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Apr 28, 2025

Perfect!

By Bhushan G

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Apr 6, 2025

Happy 😊

By Oyarekhua A A

•

Sep 14, 2023

good one