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Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5
stars
12,042 ratings

About the Course

One of the most important skills of successful data scientists and data analysts is the ability to tell a compelling story by visualizing data and findings in an approachable and stimulating way. In this course you will learn many ways to effectively visualize both small and large-scale data. You will be able to take data that at first glance has little meaning and present that data in a form that conveys insights. This course will teach you to work with many Data Visualization tools and techniques. You will learn to create various types of basic and advanced graphs and charts like: Waffle Charts, Area Plots, Histograms, Bar Charts, Pie Charts, Scatter Plots, Word Clouds, Choropleth Maps, and many more! You will also create interactive dashboards that allow even those without any Data Science experience to better understand data, and make more effective and informed decisions. You will learn hands-on by completing numerous labs and a final project to practice and apply the many aspects and techniques of Data Visualization using Jupyter Notebooks and a Cloud-based IDE. You will use several data visualization libraries in Python, including Matplotlib, Seaborn, Folium, Plotly & Dash....

Top reviews

LS

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.

CJ

Apr 23, 2023

Learnt a lot from this visualization course. The one I found most interesting was making the dashboard. Although sometime the code and indentation are tedious, but this might be useful in the future.

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By Abul B

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Feb 26, 2022

thanks

By Kasi V

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Nov 2, 2020

Thanks

By BHUVANENDRAN B

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Jul 4, 2020

Great!

By Jhan C D h

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Jun 16, 2020

super!

By Piriyapong W

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May 26, 2020

Great.

By Purple M

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Apr 11, 2020

great!

By sci w

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Dec 23, 2019

thanks

By Luís A

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Sep 24, 2019

Great!

By shamila s

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Apr 15, 2025

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By Onyiuke A R

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Jun 10, 2023

Great

By Ahmed A N

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Oct 30, 2022

nice

By praneethssr

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Feb 2, 2022

super

By Bhavik K G

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Oct 20, 2021

Great

By Manar M A

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Apr 17, 2021

?????

By 吴天瑜

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Sep 22, 2020

Nice!

By adithya g

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May 14, 2020

great

By Gabriel S

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May 8, 2020

Great

By sajjad h

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Apr 18, 2020

great

By Muthu M H

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Feb 15, 2020

Great

By Diego B

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Dec 20, 2019

great

By Marouane E O

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Sep 15, 2019

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By Arnab C

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Aug 20, 2019

nice.

By Usman R M

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Apr 5, 2019

great

By Rajib K S

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Feb 24, 2019

Wow..

By Kathleen P

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Jan 1, 2019

Great