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(Enhanced)
Instructor: Ryan Ahmed
Sponsored by Louisiana Workforce Commission
1,668 already enrolled
(22 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
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:
Introduction to the Guided Project
Plot Basic Line Plots
Practice Opportunity #1 [Optional]
Plot Scatterplot
Plot Pie Charts
Practice Opportunity #2 [Optional]
Plot Histograms
Plot Multiple Plots
Practice Opportunity #3 [Optional]
Plot Subplots
Plot 3D Plots
Practice Opportunity #4 [Optional]
Seaborn Scatterplot and Count plot
Practice Opportunity #5 [Optional]
Plot Seaborn Pairplot, Distplot, Heatmaps/Correlations
Capstone Project
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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