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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
30,088 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

BF

Jun 14, 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!

MO

Apr 18, 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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By Samyuktha S

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Sep 6, 2024

Good

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Aug 12, 2024

nice

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Aug 7, 2024

good

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Jul 27, 2024

nicz

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Nice

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good

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Jun 1, 2024

none

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May 31, 2024

good

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May 31, 2024

good

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Feb 9, 2024

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Jan 14, 2024

good

By Usman K

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Dec 8, 2023

Cool

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Oct 31, 2023

nice

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Oct 27, 2023

nice

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Jun 8, 2023

good

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Jan 21, 2023

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Dec 28, 2022

Good

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Sep 28, 2022

:-)

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Jul 26, 2022

good

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May 17, 2022

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Apr 26, 2022

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Apr 8, 2022

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By WAQAR A

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Feb 18, 2022

nice

By ???

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Dec 18, 2021

good