Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

29,164 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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3426 - 3450 of 4,764 Reviews for Tools for Data Science

By Rishabh A

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Jan 22, 2020

Basic, but informative.

By Deleted A

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Apr 17, 2019

Needed more exercises.

By Hatem Y

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Oct 14, 2023

did not understand git

By Frederico H N

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Jan 29, 2019

It needs to be update!

By Rehan K

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Dec 19, 2021

Nice and Informative.

By 2303C 5

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Dec 27, 2023

useful for beginners

By Michael

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Jan 22, 2020

Need updates in 2020

By Oludayo

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Dec 12, 2018

Much more practical.

By Miguel A O F

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Oct 13, 2018

Outdated Information

By Sharmeen S

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Dec 11, 2023

Enjoying the course

By Amy C

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Oct 31, 2021

Very broad overview

By JACK A O

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Aug 1, 2020

Not enough practice

By Alessandro

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Jul 22, 2020

good intro. thanks!

By Brian T

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Feb 25, 2020

Great Course Thanks

By ALex F M P

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Jan 9, 2020

I find interesting!

By Ranjeeth N

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Jul 10, 2019

Need more exercises

By Roshan K

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Feb 22, 2019

It's good to start.

By Ajit M

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Aug 2, 2022

Good for beginners

By Jixian L

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Mar 25, 2021

more practice sets

By MOHD Z

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Apr 26, 2020

amazing experience

By Hassan E

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Aug 15, 2019

not too technical.

By Zeeshan A

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Apr 25, 2024

great experience!

By Francis T

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Jun 23, 2023

GOOD AMD ENGAGING

By Neil I I P

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Feb 17, 2023

Excellent Course!

By Takahide M

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May 30, 2021

It was very hard.