Python for Data Visualization: Matplotlib & Seaborn

Offered By
Coursera Project Network
In this Guided Project, you will:

Understand python programming fundamentals for data visualization

Leverage the power of Matplotlib and Seaborn

Plot histograms, countplots, scatterplots, and line plots

Clock2 hours
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

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.

Skills you will develop

Python ProgrammingData Visualization (DataViz)data analsyis

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:

  1. Task #1: Plot basic Line Plots

  2. Task #2: Plot Scatterplot

  3. Task #3: Plot pie charts

  4. Task #4: Plot Histograms

  5. Task #5: Plot Multiple Plots

  6. Task #6: Plot Subplots

  7. Task #7: Plot 3D Plots

  8. Task #8: Plot Scatterplot & Count plot (Seaborn)

  9. Task #9: Plot Pairplot, Distplot, and Heatmaps (Seaborn)

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.