Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

30,256 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

Nov 5, 2019

It would be nice if you could update the material since some tools have changed either name or the way they look compared to the videos/images. Very good material though, I enjoyed the course much.

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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2526 - 2550 of 4,964 Reviews for Tools for Data Science

By AC

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Nov 15, 2019

Great

By Mauro M M R

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Oct 28, 2019

great

By Karim_1

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Sep 14, 2019

Great

By MOM K

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Aug 6, 2019

Great

By Ramazan O

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Aug 4, 2019

great

By Senthil R B

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Jun 24, 2019

GREAT

By Antonino C M

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Apr 14, 2019

great

By saeed m

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Mar 15, 2019

Great

By Natalie H

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Aug 15, 2018

Great

By Pavi

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Dec 11, 2025

GOOD

By Trần Q H

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Nov 15, 2025

good

By Ogtay N

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Oct 31, 2025

good

By Aditya J

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Sep 30, 2025

good

By NITISH K

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Aug 24, 2025

nice

By Shohjahon G

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Jul 25, 2025

good

By Wil S

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Jul 22, 2025

COOL

By Naveen N

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Jul 16, 2025

Good

By SHALU K

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Jun 20, 2025

nice

By Nguyễn Đ D

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Jun 9, 2025

nice

By abdelkarim o

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Apr 24, 2025

good

By Hudu K

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Mar 4, 2025

good

By Sakib A

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Jan 31, 2025

Best

By khawlah m

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Nov 26, 2024

good

By Shibsankar P

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Nov 15, 2024

Nice