Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

30,232 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 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.

Apr 12, 2020

It serves perfecty its aim that is giving a first glance of the open course tools for data science. Of course each tool is briefly touched and it hands over the student the duty to deepen each tool.

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1026 - 1050 of 4,957 Reviews for Tools for Data Science

By Dipin D

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May 27, 2019

Very informative and easy to understand lectures . Thank you so much..

By Maksim K

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Nov 3, 2025

Great overview. Helps not to get overwhelmed around all of this tools

By Rafael M M

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May 15, 2023

Muy completo para empezar a entender las herramientas de Data Science

By Avinash K

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May 2, 2023

Coursera provides the best knowledge and in-depth knowledge. Love it!

By Richa S

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Dec 22, 2022

I am so much enjoying this course.

Its simple and easy to understand.

By Soham S

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Oct 6, 2022

Helped me a lot to understand the basics application of data science

By Julia V

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Apr 26, 2020

Would be great to keep video updated in accordance with updated tools

By Christian H

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Jan 12, 2020

thanks a lot for providing the necessary overview over so many tools!

By Nicholas F

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Oct 7, 2019

Orientation for the student to some tools used within the profession.

By Varun S

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Feb 9, 2019

Great course to experience different data science softwares virtually

By Saptashwa B (

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Dec 30, 2018

Very good course ! But I would love to have a bit harder assignments!

By Rubén J R G

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Nov 25, 2018

This. Course gives you all tools you will need to be a data scientist

By Alejandra C C

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Jan 23, 2025

Me gustó mucho la metodología y me sirvió para aclarar conocimientos

By Mughni A

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May 19, 2024

Good for someone who try to learn programming, not only data science

By Osama A

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Nov 24, 2022

It had its difficulties, but you will never forget what you learned.

By Prince L

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Aug 17, 2021

best way to enhance your knowledge and skills in data science tools.

By Widhi A P

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Oct 2, 2020

This course so amazing, everything tools ini this course so powerful

By Javier L

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Sep 10, 2020

Everything is explained very well, just pay attention and take notes

By Hieu D T

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Aug 19, 2020

A very well-organized course. Full of free resources to get hands-on

By LADY Q A

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Jul 10, 2020

Agradezco mucho a Coursera por el apoyo en esta hermosa experiencia.

By Parv R

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May 6, 2020

it was a great course in which the best part was of jupyter notebook

By Veera P

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Apr 30, 2020

Thanks for the coursera for providing a wonderful learning platform.

By Baptiste M

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Oct 23, 2019

Quite a gap between this one and the first one, taking some momentum

By Pankaj D

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Oct 8, 2019

Very simple and helpful course to start with tools for Data Science.