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Learner Reviews & Feedback for Tools for Data Science by IBM Skills Network

25,735 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 14, 2022

I love the detailing of every aspect of this course. The Labs, the free subscriptions and free trials provided by IBM Skills Network, everything has been so amazing. Thank you Coursera, thank you IBM.


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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2926 - 2950 of 4,173 Reviews for Tools for Data Science

By Mahmoud A

Jul 19, 2020

it's really amazing course.

By Sakthivadivelan

Jun 23, 2020

overall experience was good

By Farrukh

Sep 12, 2019

Good beginner level course.

By Mohammad M

Jul 26, 2019

not really good but not bad

By Anthony C

Jul 19, 2019

The videos must be updated.

By Luis M L Z

Feb 18, 2019

Update the video tutorials.

By Priyabrata M

Sep 24, 2022


By Devansh G

Apr 14, 2020

Please update the contents

By futoshi k

Oct 15, 2018

good course to know basics

By Carlos G

Nov 21, 2021

Interesting introduction.

By Christian M H Q

Sep 2, 2021

Lots of concept quesions

By Gabriel S

May 29, 2020

You could focus more in R

By Stanley Y

Nov 27, 2019

Some content is outdated.

By Tarakant S

Oct 20, 2019

this course is amazing...

By kiran S

Aug 14, 2019

good course to start with

By Carlton L

Mar 21, 2019

Great introductory class!


Nov 28, 2018

Good introductory course!

By Hanniel, S

Sep 7, 2018

Some videos are outdated.

By Lakshay G

Sep 22, 2021

Great informative course

By KaungSiThu

May 7, 2021

nice course for beginner

By Mix U T

Apr 28, 2020

very much helpful course

By Siwei L

Dec 14, 2019

Some content not updated

By Devaashish S

Jul 11, 2019

It was fun coding Python

By Jos� P A M

Jun 20, 2019

Very general information

By Munkh-Ireedui B

Oct 6, 2022

Excellent information.