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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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1051 - 1075 of 1,906 Reviews for Data Visualization with Python

By Rahul C

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Aug 19, 2020

Good Course

By Ankita B

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Jun 21, 2020

nice course

By Aldy P

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May 21, 2020

Great work!

By Mengxue S

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Sep 10, 2019

Very useful

By Muhammad J B

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Jul 28, 2019

Just Great!

By anurodh y

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May 24, 2019

Nice course

By Ganesh P

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Apr 3, 2019

good course

By Gurnam S

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Mar 5, 2019

Very useful

By Xuan L

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Mar 20, 2021

I like it.

By gerson d o

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Oct 22, 2020

Wonderful!

By Hua S

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Jun 16, 2020

very great

By Frederico C V

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Oct 24, 2019

Excellent!

By Yash A

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Aug 7, 2019

loved it .

By Eduardo B V

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Jun 28, 2019

Excellent!

By Deleted A

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Apr 12, 2019

Thank you!

By Gregory R G J

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Nov 15, 2018

Thumbs Up!

By Ben I D S

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Jan 5, 2025

excellent

By soroush y

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Nov 24, 2023

practical

By Godwin A

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Aug 10, 2023

Excellent

By TUSHAR C

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Aug 6, 2023

excellent

By Alberto M

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Jun 22, 2023

Excellent

By 袟邪屑懈褉邪 袗

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Jun 9, 2023

good job!

By EMAD A A A

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Jan 9, 2022

excellent

By Saman A

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Nov 12, 2021

very nice

By Gaurish G

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Jul 23, 2021

Excellent