Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

30,308 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

Mar 24, 2020

There was a problem with the connection to R lab, never fixed. Also, some tutorials are outdated. These are the negative parts and why I give four stars. Other than that I like the course so far.

May 19, 2023

The course is overwhelming for a beginner with no experiecne of programming. The examples given in the class seem difficult and should have been of a lower difficulty level to keep the hopes high.

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4951 - 4973 of 4,973 Reviews for Tools for Data Science

By Jeannette A

•

Jan 9, 2020

out of date links

By Máté P

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Nov 21, 2019

So outdated... :(

By Ejmin H

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Oct 2, 2019

update the videos

By Ian H

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Jul 29, 2021

Don't learn much

By Nishan P

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Oct 21, 2020

Waste of time

By khalil h

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Apr 22, 2020

waste of time

By Davide R

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Apr 5, 2020

Quite Useless

By Flynn F

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Jun 9, 2023

DUll and um

By Jean-Yves R

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Oct 14, 2021

Really bad.

By Mohamad A T

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Apr 8, 2019

Not updated

By SATVIK V

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Jul 6, 2022

TOO HASTY.

By Jonathan Q

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Jul 27, 2022

no update

By Muhammed S U

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Dec 2, 2020

It sucks.

By Naga s T

•

Feb 14, 2023

Not good

By Bethany L

•

Nov 20, 2022

Terrible

By Korawan E

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Jun 4, 2020

Very bad

By Viswajith E S

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Nov 8, 2021

IBM AD

By David P

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Jul 25, 2020

so bad!

By lianghui t

•

Jan 16, 2019

useless

By Carlos P d V

•

Nov 12, 2020

Pesimo

By Pony F

•

Sep 8, 2020

Boring

By ABINAYA.S

•

Jun 14, 2022

worst

By Yu T

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Jun 18, 2021

dumb