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Data Visualization with Python, IBM

989 ratings
123 reviews

About this 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 28, 2018

The course with the IBM Lab is a very good way to learn and practice. The tools we've learned in this module can supply a good material to enrich all data work that need to be presented in a nice way.


Aug 08, 2018

Excellent tutorials, great labs and fun exercises - visualization is one of the most satisfying things about data science, and it is no surprise that this course is very enjoyable!

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124 Reviews

By Prashant Hariharan Krishnan

Feb 15, 2019

This course about Data Visualization is pretty good.

By Yang Danning

Feb 15, 2019

All the course is good except the final assignment

By Bakyt Niiazov

Feb 15, 2019

Great course.

By Changfa Fu

Feb 13, 2019

Takes time for beginners

By Ariel Espinosa

Feb 13, 2019

I like the exercises and the final assignment took me a while to complete.

Good work, thanks!!

By Ankit Aggarwal

Feb 13, 2019

Very descriptive course. Thankyou.

By Dave Hisey

Feb 12, 2019

Material was good, videos were not. Poorly produced with noticeable track/volume changes within videos. Instructor was very bland and continually repeated himself.

By Kike Peña

Feb 11, 2019

La prueba final no corresponde con todo lo explicado.

By Mark Hanson

Feb 11, 2019

Good content to know. Fair but not great in terms of presentation. Many videos repeated how to prep the data frame so you end up watching the same 2 minutes several times. Also a lot of the things you had to know you had to figure out on your own versus finding it in the material presented.

By 徐沛羽

Feb 10, 2019