Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5

stars

12,083 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

Apr 22, 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.

Nov 27, 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.

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1126 - 1150 of 1,918 Reviews for Data Visualization with Python

By Arnab C

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Aug 19, 2019

nice.

By Usman R M

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Apr 4, 2019

great

By Rajib K S

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Feb 23, 2019

Wow..

By Kathleen P

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Dec 31, 2018

Great

By Әлиева А Ж

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Jun 13, 2025

Nice

By Адал А

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Jun 12, 2025

Good

By ATHARVA C

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Apr 7, 2025

nice

By Abraham I B

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Apr 7, 2025

Good

By Shadmanov S

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Jun 30, 2024

GOOD

By Dilfuza T

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Jun 15, 2024

GOOD

By Og'aliqov N

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Jun 15, 2024

GOOD

By Абдуманонова А

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Jun 6, 2024

good

By malohatsamcity

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Jun 1, 2024

GOOD

By Sirochxonmohira T

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May 28, 2024

good

By Raxmatjonov X

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May 28, 2024

good

By Norboyeva A A q

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May 28, 2024

good

By Ilhom G

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May 26, 2024

GOOD

By S H

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May 4, 2024

good

By Chando A N B

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Sep 13, 2023

good

By Nguyen V T F

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Jul 22, 2023

Good

By VijayKumar H

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Mar 20, 2023

good

By SUDEEP G

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Jan 19, 2023

good

By SRI S R N (

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Nov 6, 2022

good

By mohamed a

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Nov 2, 2022

nice