Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

29,125 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 14, 2022

I love the detailing of every aspect of this course. The Labs, the free subscriptions and free trials provided by IBM Skills Network, everything has been so amazing. Thank you Coursera, thank you IBM.

Apr 17, 2023

the best course for the beginner who is going to start his data science journey. This course tells you all options like tools, libraries, programming languages, etc. Highly recommended for beginners.

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2276 - 2300 of 4,754 Reviews for Tools for Data Science

By David L

•

Mar 8, 2020

Thanks!!!

By Patricia H R F

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Mar 4, 2020

Excellent

By Syed A A P

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Mar 2, 2020

much good

By CH.V.S.R.Naidu

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Feb 22, 2020

Excellent

By Thientvse

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Feb 19, 2020

Very good

By Salvador I S R

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Feb 16, 2020

very good

By Priyansh P

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Feb 9, 2020

Excellent

By Zyad M E E

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Feb 3, 2020

Splendid!

By David Z L

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Dec 27, 2019

Excellent

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 fernando a j

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May 7, 2019

excellent

By Taswek, M M R

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Apr 4, 2019

very good