Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

30,217 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

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.

May 19, 2023

The course is overwhelming for a beginner with no experiecne of programming. The examples given in the class seem difficult and should have been of a lower difficulty level to keep the hopes high.

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2476 - 2500 of 4,955 Reviews for Tools for Data Science

By Samuel W

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May 22, 2021

thanks

By Jeff D

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Apr 26, 2021

Thanks

By Hasan M

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Sep 26, 2020

v.good

By SANNI O F

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Sep 1, 2020

Great!

By Cesar J

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Dec 21, 2019

Great!

By sci w

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Dec 18, 2019

thanks

By Muhammad Z H

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Nov 4, 2019

Thanks

By izzat f

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Sep 11, 2019

thanks

By Hadia H

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Jul 26, 2019

Great!

By Chi W K

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Jul 1, 2019

Great!

By Al M

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Apr 1, 2019

Yehey!

By Hector G

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Nov 19, 2018

Great.

By HEMACHANDRU E (

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Mar 3, 2025

Great

By Bharat G

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Dec 28, 2024

good!

By Umair S

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Nov 13, 2024

Great

By subikshan.p

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Sep 24, 2024

Super

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