Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

29,204 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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2301 - 2325 of 4,770 Reviews for Tools for Data Science

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

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 Oyarekhua A A

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Sep 14, 2023

good one

By Najlaa A

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Jul 13, 2023

Great!!!

By Alif B T

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Jul 5, 2023

Good one

By Juan P M O

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May 4, 2023

excelent

By Mohamed Z

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Jun 18, 2022

Amazing!

By Omonzuwa O

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May 22, 2022

Amazing!

By Usha R B

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May 18, 2022

Its good

By Rick G

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Nov 9, 2021

Enjoyed!

By Fabio d S R

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Aug 31, 2021

Excelent

By Muhammad S A M

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Jun 11, 2021

awesome!

By Lírick P

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May 3, 2021

the best

By Matthew L

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Dec 27, 2020

Thorough

By Le D A

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May 19, 2020

Nice!!!!

By Yibo X

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Apr 26, 2020

good one