Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

29,837 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

Jun 13, 2024

Great introductory course to show DS enthusiasts the multitude of available tools. Part of every solution is picking the right tool for the job, therefore this course is important to pay attention to!

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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2251 - 2275 of 4,889 Reviews for Tools for Data Science

By Kyla d R

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Sep 28, 2023

Fun course

By shafi k

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Jun 23, 2023

Excellent!

By Darwish A

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Apr 20, 2023

دورة رائعة

By Jean C d S G

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Mar 1, 2023

Excelente!

By Hiep D X

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Oct 16, 2022

very good

By Sabilla H M

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Apr 30, 2022

The best !

By Adan J

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Jan 10, 2022

Excellent

By Basant P

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Jan 1, 2022

I like it.

By Thin Z M L

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Jun 5, 2021

Excellent!

By Ramesh k g

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Feb 2, 2021

Enjoyed it

By Edgar R

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Aug 20, 2020

Insightful

By gerson d o

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May 23, 2020

Wonderful!

By saiganesh g

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Apr 29, 2020

very happy

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.