Python for Data Visualization: Matplotlib & Seaborn
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! Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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- Level Beginner
- Duration 4 hours
- Course by Coursera Project Network
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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! Note: This course works best for learners who are based in the North America region. We're currently working on providing the same experience in other regions.Modules
Python for Data Visualization: Matplotlib & Seaborn
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- Test your Project Understanding
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Labs
- Python for Data Visualization: Matplotlib and Seaborn
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- Project-based Course Overview
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Unlock the power of data visualization with Python in this foundational course on Matplotlib and Seaborn. Perfect for beginners in IT and Computer Science, you'll master plotting techniques like line plots, scatterplots, and 3D charts. Offered by Coursera, this hands-on project is ideal for North American learners with a Starter subscription.
Ryan Ahmed