Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

30,287 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

Jul 19, 2020

Good content, excellent delivery. Week1 had too much of information at once. I was left with little motivation after week-1. All the other weeks were good. Exercises were engaging and very useful.

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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4201 - 4225 of 4,970 Reviews for Tools for Data Science

By Federico J

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Aug 24, 2022

a little slow but necessary to acquire initial knowledge

By Jenish

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Oct 19, 2020

is this is a course? or advertisement of IBM services?!

By SOFIA V V T

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Jun 4, 2024

La parte practica es muy básica. Es más que nada teoría

By Lokesh D

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Nov 24, 2023

it don't clear a instructions at the end of the course

By ekta s

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Oct 16, 2022

too many differences in the videos and the tool itself

By Ivan S

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Sep 20, 2022

Just rewiew of existing tools. Almost zero explanation.

By Or T

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Aug 19, 2022

Very high level course for 'IBM' Tools for Dara Science

By John W

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May 6, 2021

great intro to data science tools and IBM Watson Studio

By Ömer A A

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Nov 3, 2020

To much IBM rather than all types of tools in this area

By Carola G

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Sep 11, 2020

I expected to be tough also about how to code in python

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