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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2351 - 2375 of 4,771 Reviews for Tools for Data Science

By Mahdi T

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Feb 26, 2020

helpful

By Muhammad M A

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Jan 31, 2020

Awesome

By Ime A

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Dec 9, 2019

Awesome

By Mduduzi G

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Nov 1, 2019

Helpful

By Bo L

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Oct 13, 2019

Great!!

By Bona W

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Jul 31, 2019

Mantull

By Arpita G

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Jun 28, 2019

Amazing

By Vigneshwaran P

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Feb 16, 2019

Awesome

By Amir A

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Feb 11, 2019

perfect

By Arisara C

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Sep 6, 2018

So Good

By Abdullah

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Nov 21, 2024

all ok

By Яна Г

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Oct 1, 2024

Great!

By Moath M A N

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Jul 28, 2024

Thanks

By Beatriz I S

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Jun 22, 2024

Great!

By David

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Aug 9, 2023

Great!

By Sombir S

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May 10, 2023

amzing

By احمد ا

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Feb 21, 2023

gooood

By Lucy O

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Oct 30, 2022

GREAT

By Appari B

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Sep 20, 2022

super

By Samuel W M

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May 22, 2021

thanks

By Jeff D

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Apr 26, 2021

Thanks

By Hasan M

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Sep 26, 2020

v.good

By SANNI O F

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Sep 1, 2020

Great!

By Cesar J

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Dec 21, 2019

Great!

By sci w

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Dec 18, 2019

thanks