Chevron Left
Back to Tools for Data Science

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

4.5
stars
24,661 ratings

About the Course

What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you'll learn about Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. You will learn about what each tool is used for, what programming languages they can execute, their features and limitations. 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. To end the course, you will create a final project with a Jupyter Notebook on IBM Watson Studio and demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers....

Top reviews

ED

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.

GC

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:

3801 - 3825 of 3,992 Reviews for Tools for Data Science

By Kili T

Aug 2, 2021

By Deleted A

Apr 6, 2020

By SMH

Aug 28, 2019

By Daniel W

Apr 23, 2020

By Rohan

Sep 6, 2020

By Lifeline W

Jun 20, 2020

By Hüseyin A K

Nov 30, 2021

By Debbie-Ann J

Apr 9, 2020

By Kirsten T

Nov 10, 2021

By Thabo

Jul 20, 2020

By Ali E Ş

Feb 10, 2020

By Luie J

Nov 11, 2020

By Swapnil J

Apr 6, 2020

By Ivan B

May 23, 2020

By Tong

Mar 17, 2022

By Guy B E

Sep 10, 2020

By Siddhartha P

Apr 20, 2019

By Dang V T

Sep 19, 2019

By leonardo c

Dec 6, 2021

By Belinda N

Feb 25, 2022

By Steve O

Oct 30, 2018

By Marielle B

Apr 19, 2022

By Ren Z C

Mar 12, 2020

By Elvijs M

Apr 17, 2020

By Sudha N

Jan 30, 2019