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

Aug 29, 2020

This course is awsum and well explained. Some portions needs to be updated based on the current platforms. i.e Lab instructions should be inline with the current screen, e.g. Watson Studio.Thanks !

Aug 16, 2022

The course contents are verry good and well structured except that Watson Studio tools and services options need to be explaind more, specially those used in the lab steps or explained in the videos.

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By Narges S

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Apr 10, 2025

nice

By Aneesh P

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Nov 24, 2024

good

By Pritam G

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Aug 23, 2024

Good

By ADJEGUEDE A

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May 29, 2024

cool

By Mubarak M

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Mar 2, 2024

good

By 2303C 5

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Dec 4, 2023

GOOD

By Appasami G

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Oct 17, 2023

Good

By Sumanta D

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Aug 18, 2023

Nice

By Rushabh

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Apr 9, 2023

good

By Lizeth C

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Apr 28, 2022

Good

By dharshini t

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Jul 18, 2021

Good

By Gundlapally V S S R

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Feb 26, 2021

good

By Muhammad S A

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Sep 22, 2020

nice

By Taner Ö

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Aug 16, 2020

good

By Chukwuemeka O

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Aug 11, 2020

Nice

By VISHNU T B

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Jun 25, 2020

Good

By Prashant P

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Mar 29, 2020

good

By ATHIPATLA S N

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Feb 20, 2020

nice

By Krishna K

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Aug 31, 2019

nice

By lokesh s

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Jul 8, 2019

Good

By Aswanth

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May 9, 2019

good

By GOPALDASS R S

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Jan 24, 2025

...

By Nigel D

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May 27, 2020

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By Aravind K S 2

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Nov 6, 2024

By AbdulRahman M

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Nov 5, 2024