Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

29,125 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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2376 - 2400 of 4,755 Reviews for Tools for Data Science

By Kingsford O F

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Sep 13, 2024

great

By AEDEN R

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Mar 14, 2024

great

By Fateme B

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Sep 24, 2023

great

By Luigi S

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Jul 3, 2023

Otimo

By Mohammad A L

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Mar 25, 2023

Nice

By Nathaniel E

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Sep 11, 2022

Good

By AHMED A J Z A A J Z

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Aug 15, 2022

شكراً

By Abdelkebir J

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May 20, 2022

super

By Lwazi B

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Apr 11, 2022

great

By Shavira Z

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Mar 23, 2022

COOL!

By OUPA S H

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Oct 2, 2021

good

By muhammad a

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Jun 26, 2021

great

By liuxiaoyan

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Mar 21, 2021

Noice

By 赵晓舟

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Feb 8, 2021

good!

By Ronny J G P

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Dec 17, 2020

Great

By 许皓岚

•

Dec 13, 2020

nice!

By Shylesh R

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Jun 24, 2020

Super

By Madhuka P

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Jun 5, 2020

Super

By Omotiba T j

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May 26, 2020

great

By purnachand k

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Apr 23, 2020

Great

By Mohammad H I S

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Apr 21, 2020

great

By 陈镇铧

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Apr 2, 2020

Great

By Harsh T

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Mar 17, 2020

great