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

26,039 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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3526 - 3550 of 4,251 Reviews for Tools for Data Science

By Sergio D

Apr 18, 2022

Too much centered in IBM tools, and they are hard to handle

By Ayush K

Oct 19, 2019

Needs to be up to date as many bugs in course and practical

By Andrew W

Oct 7, 2019

Videos are out of date with the new interface of IBM Cloud.

By Huan L

Jun 26, 2019

A little bit too easy, but still, maybe good for beginners.

By Adam L

Mar 17, 2019

Outdated Material. But still good introduction to notebooks

By Mia Z

Feb 18, 2021

Some of the instructions are not clear enough or beginners

By Deleted A

Sep 17, 2020

I did not like that much the focus on IBM Watson Studio :/

By ThanhCj

Feb 17, 2020

Please update videos base on new updated of Wastion Studio

By Rafael T

Jan 15, 2020

Course should be updated to include new watson's interface

By Gabriel G V

Jan 10, 2020

need to learn programming first!

put a python course first!

By Sergey M

Dec 26, 2019

Course should be updated to be used with IBM Watson Studio

By Nidhi L

Sep 17, 2019

Very high level. Need to have more details for a beginner.

By Mayada E

Oct 19, 2022

Too much information in one course. But I learned a lot!

By Jannis J

Dec 3, 2020

Not really necessary. Most of the information is skibable

By Federico J

Aug 24, 2022

a little slow but necessary to acquire initial knowledge

By Jenish

Oct 19, 2020

is this is a course? or advertisement of IBM services?!

By ekta s

Oct 16, 2022

too many differences in the videos and the tool itself

By Lokesh D

Sep 26, 2022

it don't clear a instructions at the end of the course

By Ivan S

Sep 20, 2022

Just rewiew of existing tools. Almost zero explanation.

By Or T

Aug 19, 2022

Very high level course for 'IBM' Tools for Dara Science

By John W

May 6, 2021

great intro to data science tools and IBM Watson Studio

By Ömer A A

Nov 3, 2020

To much IBM rather than all types of tools in this area

By Carola G

Sep 11, 2020

I expected to be tough also about how to code in python

By Pulkit B

Apr 23, 2020

Need to update the videos with Watson Studio interface.

By Nurmuhammad A

May 6, 2020

Need more examples! But overall the course is not bad!