Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

29,176 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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2251 - 2275 of 4,765 Reviews for Tools for Data Science

By Bipasha P

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Jun 20, 2021

excellent

By Gastón G

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Apr 21, 2021

Very good

By Olu A O

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Mar 26, 2021

educative

By Bedirhan H H

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Jan 17, 2021

Excellent

By Joseph K

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Jan 5, 2021

very nice

By Patricio G

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Dec 27, 2020

Excelente

By Mohamed M

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Dec 11, 2020

Thank you

By Fotios T

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Nov 23, 2020

THANK YOU

By MOSTAFA S

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Nov 16, 2020

fantastic

By aditya p

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Nov 5, 2020

Loved it.

By Rafael J A C

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Oct 19, 2020

Excellent

By 우준

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Jul 29, 2020

very good

By Bikash K

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Jul 27, 2020

very good

By fernandes m

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Jun 19, 2020

Very good

By diego s d s

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Jun 16, 2020

Very good

By swethasastry

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Jun 10, 2020

excellent

By Piyush R

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Jun 2, 2020

excellent

By Gunjan

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May 24, 2020

VERY GOOD

By Ali T Q

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May 20, 2020

very nice

By Bhavesh S

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May 16, 2020

excellent

By Ibenegbu A H

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May 6, 2020

very Nice

By Ajitha

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May 4, 2020

excellent

By PURUSHOTHAMAN S

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May 2, 2020

Good one!

By Harsha G

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May 1, 2020

Excellent

By M H S S G B

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Apr 23, 2020

Excellent