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 !

Oct 15, 2024

Good Course overall focus in basic tools. the course could be shorter as someone who know which language who want to use and familir with the tools already shouldn't learn all the course materials

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2401 - 2425 of 4,955 Reviews for Tools for Data Science

By Priyadarsini P

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Aug 2, 2019

Very Good

By Shagal A S

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Jun 29, 2019

Excellent

By Gabriel

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Jun 18, 2019

EXCELENTE

By Deleted A

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May 15, 2019

Excelente

By Lee-Roy T C

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May 6, 2019

excellent

By Taswek, M M R

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Apr 4, 2019

very good

By NADIM M

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Jan 16, 2019

Very good

By amr s

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Jan 15, 2019

Wonderful

By Sushant G

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Dec 7, 2018

vERY Good

By Piotr M

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Oct 8, 2018

Very good

By Maria

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Sep 21, 2018

Excellent

By Florentina D

•

Dec 9, 2025

muy útil

By SEVINCH C A

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Jun 18, 2025

perfect!

By Vũ X N

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Apr 27, 2025

Perfect!

By Bhushan G

•

Apr 6, 2025

Happy 😊

By Oyarekhua A A

•

Sep 14, 2023

good one

By Najlaa A

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Jul 13, 2023

Great!!!

By Alif B T

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Jul 5, 2023

Good one

By Juan P M O

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May 4, 2023

excelent

By Mohamed Z

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Jun 18, 2022

Amazing!

By Omonzuwa O

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May 22, 2022

Amazing!

By Usha R B

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May 18, 2022

Its good

By Rick G

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Nov 8, 2021

Enjoyed!

By Fabio d S R

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Aug 31, 2021

Excelent

By Muhammad S A M

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Jun 11, 2021

awesome!