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Data visualization with Python

Turn data into decisions. You will learn the principles of visual storytelling and master the three key libraries of the Python ecosystem: matplotlib for full control, seaborn for visual statistics and plotly for interactivity. You will choose the right chart, use color accessibly and build dashboards that communicate. The fourth course of the Professional Certificate in Data Analysis.

9 lessons 12 hours 900 XP

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Syllabus

Module 1 · Principles and storytelling with data

  1. 1Data visualization fundamentals45 min
  2. 2Choosing the chart for the data50 min

Module 2 · Matplotlib: full control of the chart

  1. 3Anatomy of a figure: figure and axes50 min
  2. 4Essential chart types in Matplotlib55 min

Module 3 · Seaborn: visual statistics

  1. 5Seaborn on top of Matplotlib: themes and tidy data45 min
  2. 6Distributions and categorical charts55 min
  3. 7Relationships, correlations and heatmaps55 min

Module 4 · Interactivity and dashboards

  1. 8Interactive charts with Plotly50 min
  2. 9Accessible color and dashboards that communicate55 min

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