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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2126 - 2150 of 4,955 Reviews for Tools for Data Science

By Himanshu R

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Apr 22, 2020

it was awesome

By J C

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Apr 3, 2020

Very Practical

By Sadadeep s

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Apr 2, 2020

Great overview

By Nichu S

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Feb 3, 2020

Worth the time

By Chinmay M

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Nov 28, 2019

Great insights

By Abhishek S

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Oct 28, 2019

Nice tutorial.

By peter s

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Sep 22, 2019

awesome course

By Md A A

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Jun 13, 2019

Enjoy learning

By Joyce

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Mar 4, 2019

Pretty Helpful

By Leonid P

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Jan 16, 2019

very good one!

By ian k

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Apr 30, 2025

good subjects

By Pooja K

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Aug 10, 2024

good nice wow

By adekoya n

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May 18, 2024

easy to learn

By Michel M

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Dec 27, 2023

I loved! ? 😃

By Hemant K

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Aug 27, 2023

Great Course.

By IKENNA O

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Jul 17, 2023

Great module!

By Prasanth_366

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Apr 8, 2023

Thank You IBM

By Ijaz U

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Feb 20, 2023

Great content

By John A

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Feb 11, 2023

Great course!

By BIBHUTI B B

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Dec 18, 2022

Great course.

By Mick H

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Dec 10, 2022

Nice overview

By ravi k b

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Oct 4, 2022

I enjoyed it

By Abmiel N N

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Aug 3, 2022

this is a wow

By Prince B

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Jul 13, 2022

Very helpful.

By Jeet P

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Jul 1, 2022

Great quality