In this hands-on project, we will understand the fundamentals of data visualization with Python and leverage the power of two important python libraries known as Matplotlib and seaborn. We will learn how to generate line plots, scatterplots, histograms, distribution plot, 3D plots, pie charts, pair plots, countplots and many more!

Python for Data Visualization: Matplotlib & Seaborn

Python for Data Visualization: Matplotlib & Seaborn

Instructor: Ryan Ahmed
Access provided by Graphic Era Hill University
6,132 already enrolled
(77 reviews)
Recommended experience
What you'll learn
Understand python programming fundamentals for data visualization
Leverage the power of Matplotlib and Seaborn
Plot histograms, countplots, scatterplots, and line plots
Skills you'll practice
Details to know

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About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
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Task #1: Plot basic Line Plots
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Task #2: Plot Scatterplot
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Task #3: Plot pie charts
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Task #4: Plot Histograms
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Task #5: Plot Multiple Plots
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Task #6: Plot Subplots
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Task #7: Plot 3D Plots
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Task #8: Plot Scatterplot & Count plot (Seaborn)
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Task #9: Plot Pairplot, Distplot, and Heatmaps (Seaborn)
Recommended experience
Basic python programming and mathematics.
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How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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Reviewed on Jan 26, 2022
It is so useful and very well structured and explained.
Reviewed on Jan 16, 2026
It was a great hands on learning project. I highly recommmend for those looking to practice on real world data appliation or refreshing their skills. Thanks to the course team and coursera.
Reviewed on Apr 16, 2021
In one word superb overview and explanation.And I loved mini challenges idea





