Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

30,304 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 25, 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 13, 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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3526 - 3550 of 4,972 Reviews for Tools for Data Science

By Hashem O

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Feb 2, 2019

need more detail in each open source

By Orhan S

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Feb 3, 2024

It was very very helpful. Thank you

By Majid M T

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May 28, 2020

Only some sessions need improvement

By Sowmya P

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Jan 28, 2020

the videos are of an older version

By Abhishek M

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Aug 3, 2019

Excellent introduction to DS tools

By Lichen Q

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Feb 6, 2019

I cannot open week 3's assignment.

By Marketta M

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Feb 4, 2019

Hard & confusing but I made it lol

By Steven P M

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Feb 2, 2019

A light overview of various tools.

By Charissa B

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Sep 7, 2020

Appreciate the exercises and labs

By Sajeev K

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Aug 11, 2020

Nice Introduction about the Tools

By Toghrul G

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Apr 18, 2020

Video material should be updated.

By pavithra k

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Apr 13, 2020

The videos need to be up to date.

By Lorena G

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Jan 28, 2020

Some of the videos where outdated

By Trần C L

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Nov 25, 2019

It just does what it supposed to.

By Vijay N J

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Oct 30, 2018

Very good course to star with ...

By Sonja T

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Apr 6, 2021

Prepare to drink from a firehose

By Khanjan V

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Jun 28, 2019

the material needs to be updated

By Saiful I

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May 24, 2019

Too much emphasis on IBM's tool,

By chenpeng

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Jul 10, 2019

Maybe could incorporate Pycharm

By Adhruth S

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May 13, 2019

The course needs to be updated.

By Erick R

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Oct 14, 2018

great to see how the IDE's work

By Alagbe A K

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Jun 4, 2020

This course is well delivered.

By Shane W

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Dec 5, 2019

Good tools, good explanations.

By 최석용

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Jun 25, 2019

Relatively easy to understand.

By Pragya A

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Mar 10, 2019

REQUIREMENT OF MORE EXPINATION