Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

30,282 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

Sep 21, 2020

Gives you a good idea and overview about different tools but can be overwhelming because of the amount of new information and some videos are not up to date. Week 3 especially had some weak videos.

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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4251 - 4275 of 4,969 Reviews for Tools for Data Science

By Brenda G M e

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Mar 5, 2020

It is a lot of trouble to use IBM studio

By Kriel T K

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Mar 26, 2020

The tutorial videos need to be updated.

By Mariana S S

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Jun 12, 2021

Too much obsession with IBM Data tools

By Sanket p

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Dec 10, 2019

Just some basic knowledge is provided.

By Shubham K

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Jun 6, 2020

Should contain more reading material.

By Ozlem E

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Oct 20, 2020

The sound quality is not consistent.

By Touffail A

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Sep 29, 2019

Manque des tests en images pas à pas

By Pejwak K

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Dec 8, 2022

This course can be greatly improved

By dave d

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Mar 25, 2022

Too Much Information For a beginner

By Hao W

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Dec 11, 2019

The course materials are out-dated.

By Zhu T

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Nov 19, 2018

poor experience in using IBM Watson

By M.Ignatius A J

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Feb 6, 2025

this course gave me good knowledge

By Jesus G

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Nov 30, 2024

Not a lot of hands down exercises.

By Ahmed B

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Dec 6, 2019

superficial and need more in depth

By Chetan W

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Oct 7, 2024

Too much tools , hard to remember

By Sébastien F

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May 10, 2022

Too much commercial tools talking

By Nicholas G

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Sep 20, 2019

Course content is not up to date.

By Paren A

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Feb 22, 2019

Very rushed and brief explanation

By Nigel S

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Apr 11, 2022

it was challenging and educating

By Adrian A

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Jan 23, 2022

good start to lay the foundation

By Anup U

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Jul 18, 2020

tools should be more descriptive

By Aleksandra K

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Apr 11, 2020

The videos have to be updated...

By Ludovico P

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Mar 20, 2020

most labs are on different tools

By Candi R

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Jan 29, 2020

The contents need to be updated

By Yago R S M

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Nov 5, 2019

last week tutorial was outdated