Chevron Left
Back to Tools for Data Science

Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
21,601 ratings
3,341 reviews

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

RR
Apr 24, 2019

To the contrast of other reviews, I find the content very well bifurcated and fed to the learners. The course very easily digestable and I have had a great amount of fun learning it.. Go for it!!!!

AJ
Sep 15, 2020

Absolutely Loved this course!! Challenging at times to keep up with all the terms and processes. The course provided great insight into Data Science. Would highly recommend it as your first course.

Filter by:

2051 - 2075 of 3,317 Reviews for Tools for Data Science

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Some videos are outdated, but still you can manage to complete all sections and assignments.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

By Raj G

Nov 14, 2020

Apart from IBM Watson Studio, you should also make videos of other cloud services as well.

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 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.

By KARTIK S

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 DEVA N S K 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 E 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