Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

29,176 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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2201 - 2225 of 4,765 Reviews for Tools for Data Science

By Fernando P

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Apr 13, 2020

Very good!

By mahitha c

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Jan 28, 2020

It's great

By Juan C C R

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Jan 27, 2020

Excellent!

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 F

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Apr 24, 2019

Fantastic!

By 龚子轩

•

Apr 24, 2019

Excellent!

By Valentina F

•

Jan 30, 2019

excellent!

By Ahmed T

•

Nov 8, 2018

Amazing :)

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 30, 2023

very good

By yugandhara p

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Jun 29, 2023

Thank you

By Deleted A

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Jun 27, 2023

Very Nice

By Dilnesaw A

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Jun 19, 2023

Excellent