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

26,032 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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2601 - 2625 of 4,249 Reviews for Tools for Data Science

By Frugier E

May 7, 2020

Good overview of the main tool. Jupyter Lab is particularly well covered. It is getting exciting.

By Zuhal D

Jan 10, 2020

this course useful but some photos, interfaces tools old. I think interfaces of tools can update.

By Riccardo C

Nov 29, 2019

Clear and substantively approachable. Hoping in further data analysis models in the next courses.

By Christopher D K

Aug 28, 2019

Actually, It is a great study material, but there are some video that repeat the previous lesson.

By Ana C T M

Feb 17, 2019

There has been some issues accessing the tools used on this course, but overall it was very good.

By Dipakkumar B

Feb 13, 2021

This course is really great for a beginner who wants to develop their a career in Data Science..

By Francesca, M S

May 30, 2020

I had some difficulty to use IBM watson studio the first time. The video lessons are not updated

By Wai L

Mar 29, 2020

Really easy to follow along until Week 3 when the videos were all out of date. -1 star for that.


Jul 10, 2019

good basics concepts which can be useful to applied on future perspective data science projects.

By Chinwe N

Mar 8, 2019

IBM account instructions should be updated - took a long time to figure out how to set things up

By Farizal J

Jan 11, 2019

It needs to be more challenging but happy to be introduced to various helpful tools nonetheless

By Michael M

Mar 29, 2021

Great course it will surely activate your interest in data science as well of learning coding.

By ashish k b

May 14, 2020

It is good Course for understanding data Science open source tools and practical use of tools.

By Andrei B

Jan 17, 2020

Last part is a bit out of date after IBM changed the interface of IBM Data Science Experience.

By Niangoran A R A

Aug 22, 2019

Un cours vraiment tres interressant

j'ai beaucoup apris sur Jupiter Notebook, Rstudio, Zippelin

By raviteja g

May 27, 2019

A very brief overview of all the open source tools required for Data Science. Well structured.

By Michael S

May 10, 2021

There was too much video content for the variety of tools. The content, however, is thorough.

By Mauro V

Jul 14, 2019

Course is not updated to the IBM Watson Studio interface. Good material and exercises though.

By Harsh S

Mar 23, 2020

Nice course for learning the basics of open source tools required in the data science field.

By Rafael K H

Nov 23, 2019

Some videos are outdated, but still you can manage to complete all sections and assignments.

By Fabio W

Jun 13, 2019

Great course, Watson screens are little out dated now but it doesn't detract from the class.

By Tiffany W S

Sep 5, 2018

Some of these videos need to be updated. They don't along with what is current on the sites.

By Gage S

Mar 30, 2020

Some of the material wasn't up to date. However, it was still easy to figure everything out

By Hrushikesh R

Feb 20, 2020

The final Assignment marking was not good though I performed well I didn't got full marks.

By Aditya V S

Jan 27, 2019

Good introduction to the tools that will be used in visualizing the data and data analysis.