Chevron Left
Back to Tools for Data Science

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

26,015 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.

Filter by:

2626 - 2650 of 4,246 Reviews for Tools for Data Science

By Ravindra D

Oct 24, 2019

Covered important open source tools for Data Science.

Also demonstrated IBM Watson Studio.

By Biprajit S

Jun 20, 2019

There is a discrepancy in one of the sections due to older versions. Not too major though.

By Mohamad A H

Jun 7, 2019

Jumps straight into the tells. Needs a little more transitional introduction from course 1

By Linda N

Jan 2, 2022

Thankful for the teaching and the course, but some of the instruction was hard to follow.

By Saurabh S

Sep 24, 2020

Easy to learn course. Expansive and Introductory. Familiarize well with mainstream tools.

By Neelesh T

Feb 7, 2020

It was fun and I really enjoyed learning through out the course!

Thank You IBM & Coursera.


Jun 5, 2019

course videos are not updated and it takes to much time to configure to the new updates!1

By Annie W A

May 11, 2020

It's a very interesting course once you master how to write your codes and us Markdowns.

By Gabriella P

Aug 12, 2019

Very basic insight on tools. It's only good if you have zero experience/knowledge on it.

By Ahmed M A S

Jun 27, 2019

Great Introduction to various tools. Very suitable for someone who is just starting out.

By Maninderpal S

Dec 12, 2021

The IBM watson part is a bit hassle as it needs a credit card etc and might be charged.

By saikumar k

Apr 16, 2021

As a Student it helps me a lot and I really satisfied with the completion of the course

By Valentin F

Dec 16, 2020

I mark it as a 4 only because a lot of the content of this course is really IBM centric

By Tuna M

Mar 23, 2019

It would better if the course is updated with the latest interface of IBM Watson Studio

By Bartosz B

Mar 12, 2019

Good clarification of tools. Maybe some emphasis on how those tools will work together.

By Ige T

Sep 12, 2020

Great course if you want to learn about the tools necessary in the data science world.

By Jose J

Sep 11, 2020

A few of the week 4 videos were a little difficult to follow the information provided.

By Mohammed H M A

Jun 22, 2020

very nice course but need more improvement in term in that it is dealing with beginner

By Giorgio M

Apr 24, 2020


Straight to the point

Maybe some more example on Watson would be appreciated

By Ashique B Y

Apr 4, 2020

Some course video and links should be updated, i assume. Overall great course. Thanks.

By Anand s

Feb 27, 2020

It is very helpful course to learn basics of open sourse tools or IDE for data science

By Borsali F

Nov 14, 2019

Good for knowing Open Source (and online / no need to download) tools for Data Science

By Vasu N

Jul 11, 2019

Basics of Jupyter Notebook were clear but zepplelin notebook was not that much cleared

By Héctor C

Mar 18, 2019

Good course and good explanations although an update on the content would be welcomed.

By Fayaz O

Feb 7, 2019

Good overview of the different web-based platforms available to practice data science.