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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2476 - 2500 of 4,765 Reviews for Tools for Data Science

By Manikandan P

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Dec 30, 2019

NIce

By rohit c

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Nov 8, 2019

nice

By Zin N H

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Oct 18, 2019

Good

By Mallikarjun I

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Sep 4, 2019

Good

By Tejas A (

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Aug 10, 2019

Nic!

By CAMARA I

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Jul 21, 2019

cool

By Manea S I

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Jul 17, 2019

nice

By Sharvan p

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Jun 19, 2019

good

By hari p

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Jun 2, 2019

cool

By CARLIN S I

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May 29, 2019

good

By Abhishek S

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May 21, 2019

Good

By Kelly K

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Dec 29, 2018

Good

By SATYAM S C 1

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Dec 8, 2018

Nice

By Muhammad H K

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Jul 14, 2023

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By Thomas D

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Jul 4, 2023

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By a. y

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May 21, 2023

TNX

By NADA A A

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Jun 8, 2022

WOW

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Nov 4, 2024

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Aug 19, 2024

By Abdulrahman A K

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Dec 10, 2023

By Moulay A E T

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Nov 22, 2023

By NEEDHISHYAN S

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Mar 18, 2022

🤣

By Sandra U

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Jan 6, 2022

By Nestor R V M

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Nov 11, 2018

By MOHAN R A

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Nov 6, 2024