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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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401 - 425 of 4,249 Reviews for Tools for Data Science

By Sounak S

Aug 27, 2021

Had a great experience on learning about open source tools used for Data Science and working on hands on based projects on IBM Watson Studio.

By Felillop

Jun 24, 2021

Un buen curso sobre las herramientas IBM y Jupyter, aconsejo en este curso empezar a ir tomando nota para no perder detalle y quedarse atrás.

By joseph (

Sep 6, 2022

Its a tough and great course but its doable. There is a lot of new stuff you learn especially if you are not coming from an ICT background.

By Husayn Z A

May 14, 2020

I really enjoyed this course. I loved the explanation of the videos and the assignments weren't too hard either. Overall, I really loved it.

By Susan A

Apr 24, 2020

I found this course very informative... I knew very little about all these Open Source tools available to Data Scientist for analyzing data.

By Jean P G M

Feb 26, 2020

Me pareció excelente, porque he aprendido mucho, además que he podido conocer herramientas que son Open Source y que puedo usar cómodamente!


Aug 9, 2018

Great Introduction to open source tools for data science. The hands on labs they were informative and just perfect for introduction purposes

By Johnsi J A

Jan 28, 2020

Excellent! I learned various open source tools for data science successfully and now am able to use the tools. Thanks You IBM and Coursera.

By Jennifer B

Dec 31, 2019

Great to separate the tools and environment in this way, so that working out the tool doesn't get in the way of learning the content later.

By Nur C N

Jul 3, 2019

I love the hands-on with IBM Watson and Skill Network Labs, it's really helpful without set-up my own local environment. Love it so much!!!

By Raghuram B

May 30, 2019

This course helps for people who are intermediate to DataScience. We can explore the popular tools and methodologies used for data science.

By Oedhel S

Apr 15, 2019

Great overview of the most common tools. Definitely worth looking at if you're still trying to figure out what forms of coding to focus on.

By Petko V

Nov 19, 2018

Course content was good. May want to consider updating some of the videos as some of them do not match with what the IBM UI looks like now.

By Bilinclizihin

Sep 10, 2019

I am so happy and exited to join this online class.This course is so helpful and because of this course I ve learnt too many useful tools.

By Nguyen T S

Jul 26, 2021

This is a very useful course for beginner data scientist. Thanks IBM for making this course and the free tool for data science community!

By Carlos A A V

Jan 16, 2023

Muy conforme con los conocimientos que brinda este curso. Termino muy contento y con la idea de seguir avanzando en este mundo. GRACIAS!

By Raphael K

Jan 27, 2021

A well coordinated and educative course on data science. Highly recommended for anyone with passion to learn and understand data science

By alexander e

Oct 7, 2020

i learned git and GitHub the easy way and also the layout of the video presentation and hands-on practical lab makes learning so easy


Oct 5, 2020


By Tom W

Jun 22, 2020

Great introduction into the tools of data science! I'm very impressed and thankful for the wealth of resources presented in this course.

By Naveen M R R

Jun 17, 2019

The course is really helpful and very much understandable, slow and encouraging. I appreciate it and would recommend this to my friends.

By Utkarsh D

Jan 29, 2020

i have learn so many thing like R studio,juypter and how to visulaize the data etc good course i have recommeneded so much for fresher

By Dave S

Nov 24, 2019

Even though some of the course material is outdated, it forced me to figure things out on my own. I feel that is a better way to learn.

By Simran P S

Jun 14, 2019

Really helpful course, it is really good if you're just starting out and want to get familiar with the tools you might be working with.

By Eduardo J R D

Jun 13, 2022

Excelente curso, muy bien diseñado, el contenido es explicado de forma clara y concisa, los laboratorios son muy utiles y aplicables.