Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

29,164 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

Aug 14, 2022

I love the detailing of every aspect of this course. The Labs, the free subscriptions and free trials provided by IBM Skills Network, everything has been so amazing. Thank you Coursera, thank you IBM.

Apr 17, 2023

the best course for the beginner who is going to start his data science journey. This course tells you all options like tools, libraries, programming languages, etc. Highly recommended for beginners.

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4126 - 4150 of 4,762 Reviews for Tools for Data Science

By Fazli K

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May 31, 2020

Best Experience Ever

By Rafael D B

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May 21, 2019

it has to be updated

By Sanya H

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Feb 12, 2021

Small parts of labs

By Niti R

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May 13, 2020

Please update video

By Siobhan S

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Sep 22, 2019

Needs to be updated

By Arun K A

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May 16, 2019

Videos are outdated

By Chirag G

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Feb 1, 2019

Course is outdated.

By Suraksha S

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Apr 2, 2020

Its a bit outdated

By Anton S

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Jun 8, 2021

yaa mayan lah yaa

By Tandeka B

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Apr 20, 2020

old information.

By Ritik k

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Nov 27, 2019

outdated content

By Jonethan R

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Mar 20, 2022

Outdated guides

By lavesh b

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May 5, 2020

It is too basic

By Sandipan D

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Nov 27, 2018

Videos outdated

By Yadder A

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Feb 23, 2019

It's too easy.

By JM E

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Apr 22, 2021

Needs update

By Abdullah A

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Dec 26, 2018

not clear it

By RITIK K

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May 26, 2019

good course

By Aditya G

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Jun 26, 2024

not great

By Igor L

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Oct 2, 2019

Too easy

By Farzan B

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Oct 20, 2018

Too easy

By Nahim A R

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Jan 21, 2023

Not Bad

By 손승건

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Jan 16, 2020

not bad

By Sanket B

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Jun 10, 2019

its ok

By Aurobinda B

•

May 19, 2024

good