Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

30,122 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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4176 - 4200 of 4,932 Reviews for Tools for Data Science

By Pulkit B

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Apr 23, 2020

Need to update the videos with Watson Studio interface.

By Nurmuhammad A

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May 6, 2020

Need more examples! But overall the course is not bad!

By khaled C

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Apr 7, 2020

The program is very light and not updated to IBM tool.

By Muhammad A H

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Feb 28, 2020

Very Basic. The assignment should be more challenging.

By Minkyu L

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Feb 13, 2019

Informative but the practice exercises are very basic.

By Jojo G

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Sep 19, 2022

Some of the laboratory instructions are not updated.

By Caio B

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Sep 13, 2022

Muito conteúdo referente apenas à ferramentas da IBM.

By Mohammad S

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Jan 11, 2020

it should include more practice videos and guidelines

By Piyush S

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Dec 4, 2019

older version explain in the videos. Need to update.

By Michael F

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Jan 11, 2019

The videos showed outdated versions of the software.

By Salman

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Jan 16, 2025

so much theoretical part. It's a little bit boring.

By Zadjad R

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Dec 3, 2019

Very little real knowledge to get from this course.

By Prem K

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Aug 19, 2019

The second week contents were not pretty engaging.

By Edmond L

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Aug 17, 2021

we don't need a separate course for most materials

By Srinivas S R B

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Apr 15, 2020

Some Confusion in Vedio Tutorial part so ensure it

By Harrison

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Jan 16, 2020

Directions are outdated with new IBM Watson Studio

By Austin G

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Mar 22, 2020

It would be helpful to update the videos, please.

By Samundra M S

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Mar 16, 2020

Only Very Basic Information on Open Source tools.

By Norton Z

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Oct 10, 2019

Good course but a little out of date information.

By Sri r k

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Sep 28, 2019

IBM cloud tool and DSX related setup is not clear

By muhammed s e

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Dec 4, 2019

its too defrant between the course and the realy

By Honorine C

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Feb 20, 2025

Not enough technical exercises, too much theory

By Ami R E

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May 5, 2020

Videos in week 3 were very difficult to follow.

By Paolo M

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Jun 25, 2020

Some courses explanations were not fully clear

By Steven A

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Apr 29, 2020

Decent overview of open source tools available