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Learner Reviews & Feedback for Data Visualization with Python by IBM

5,246 ratings
591 reviews

About the Course

"A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data. One of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way. Learning how to leverage a software tool to visualize data will also enable you to extract information, better understand the data, and make more effective decisions. The main goal of this Data Visualization with Python course is to teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people. Various techniques have been developed for presenting data visually but in this course, we will be using several data visualization libraries in Python, namely Matplotlib, Seaborn, and Folium. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

Top reviews


Nov 21, 2019

It's a really great course with proper hands on time and the assignments are great too. i got enough opportunity to explore the things which were taught in the course. Really Satisfied. Thanks :)


Jan 08, 2020

This course gives very well knowledge about different types of visualization techniques and helps to start with visualization. Coursera provided an amazing course with an amazing instructor.

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501 - 525 of 581 Reviews for Data Visualization with Python

By Yong S

Sep 20, 2019

A lot of the things in the final project were not even touched upon in the course materials.

By fulvio c

Nov 25, 2019

The training video are missing most of the commands required for the final assignment

By Berkay T

Oct 15, 2019

Not well structured. So many topics left with shallow and quick explanations.

By Pablo V V

Mar 18, 2019

More exercises pleases. I need more practice. Please answers discussions.

By Yash M J

Aug 07, 2019

A lot of the code in the jupyter notebooks wasn't explained in detail

By Roshan P

May 05, 2019

It could have more explanation and content. Everything else is good.

By Daniel R

Sep 14, 2019

Instruction to prepare for the final project was insufficient.

By Nuttaphat A

Jun 18, 2019

At least, this course is way more useful than the others.

By Pragya A

Jan 04, 2019

it could be more intresting ...yeee good for beginners.

By Sajal J

Dec 09, 2019

nice course for learning basics of data visualization

By Kike P

Feb 11, 2019

La prueba final no corresponde con todo lo explicado.

By Andrew P

Dec 20, 2019

some of the exercises were not able to load for me

By Muyang L

Nov 18, 2019

The lectures contain too much repeat context.

By Amirhoshang H D

Apr 02, 2019

All videos have one minute content in common.

By Debra C

Mar 24, 2019

Course was okay, not great but worthwhile.


Jan 02, 2020

Easily encounter 503 errors for the labs


Dec 25, 2019

Need to improve more please

By Marina H

Nov 20, 2019

Some code did't work in Labs

By Anmol K P

Nov 06, 2019

More content and examples

By Martina

Oct 29, 2019

The labs are very buggy.


Oct 07, 2019


By Mark P

Sep 18, 2019

JSON links are broken.


Jul 01, 2019

Can be better

By Gloria S

Aug 15, 2019

too basic

By Fabio B

Mar 15, 2019

Too basic