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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2226 - 2250 of 4,771 Reviews for Tools for Data Science

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

By João m R

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May 8, 2023

muito bom

By Ajala J

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Apr 9, 2023

Top notch

By Enrique T

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Apr 8, 2023

muy bueno

By Asadullah M

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Mar 30, 2023

excellent

By Kavishka M

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Mar 26, 2023

very good

By Milkias S

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Mar 24, 2023

thank you

By Susan W

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Feb 22, 2023

excellent

By Samson I

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Aug 29, 2022

Wonderful

By Sujit S

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Aug 1, 2022

Excellent

By Kuldeep Y

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Jul 26, 2022

very good

By Nasimi S

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Jul 21, 2022

excellent

By Asmaa M

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Jul 16, 2022

wonderful

By NADER O

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Jun 19, 2022

fantastic

By Enrieve K A

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Jun 9, 2022

Excellent

By JAMAL M S

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Jun 5, 2022

thank you

By RUSHIKESH M

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Mar 22, 2022

excellent

By Abul B

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Feb 21, 2022

Excellent

By Sathwik S B

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Jan 27, 2022

Excellent

By Mohamed E

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Oct 27, 2021

Very good

By Bernardo P

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Sep 30, 2021

Gracias!

By Jaymin M

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Sep 20, 2021

Loved it!

By Satish w

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Sep 12, 2021

excellent