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
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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
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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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