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Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5
stars
12,150 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

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.

AA

Apr 1, 2020

This course was really interesting and it was great learning experience.A big thanks to a instructor.I got to know new things like folium library (most interesting library of python according to me)

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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

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By Diego B

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Dec 20, 2019

great

By Marouane E O

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Sep 15, 2019

G

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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..

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Jan 1, 2019

Great

By 訕谢懈械胁邪 袗 袞

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Jun 13, 2025

Nice

By 袗写邪谢 袗

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Jun 13, 2025

Good

By ATHARVA C

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Apr 8, 2025

nice

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Apr 7, 2025

Good

By Shadmanov S

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Jun 30, 2024

GOOD

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Jun 15, 2024

GOOD

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Jun 15, 2024

GOOD

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Jun 6, 2024

good

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Jun 1, 2024

GOOD

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May 29, 2024

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May 29, 2024

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May 28, 2024

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May 27, 2024

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By S H

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May 4, 2024

good