Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

30,126 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

Apr 24, 2019

To the contrast of other reviews, I find the content very well bifurcated and fed to the learners. The course very easily digestable and I have had a great amount of fun learning it.. Go for it!!!!

Apr 12, 2020

It serves perfecty its aim that is giving a first glance of the open course tools for data science. Of course each tool is briefly touched and it hands over the student the duty to deepen each tool.

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2451 - 2475 of 4,932 Reviews for Tools for Data Science

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 Lohan

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Aug 9, 2023

Great!

By Sombir S

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May 10, 2023

amzing

By احمد ا

•

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

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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

By Muhammad Z H

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Nov 4, 2019

Thanks

By izzat f

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Sep 11, 2019

thanks

By Hadia H

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Jul 26, 2019

Great!

By Chi W K

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Jul 1, 2019

Great!

By Al M

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Apr 1, 2019

Yehey!

By Hector G

•

Nov 19, 2018

Great.

By HEMACHANDRU E (

•

Mar 3, 2025

Great

By Bharat G

•

Dec 28, 2024

good!

By Umair S

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Nov 13, 2024

Great

By subikshan.p

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Sep 24, 2024

Super