BiteSize Python: Data Visualization
About this course
This course focuses on data visualization, an essential skill for effectively communicating insights derived from data. It introduces three widely used Python packages: Matplotlib, Seaborn, and Plotly, each known for its unique capabilities in data visualization. The course covers the basics of these libraries and demonstrates how to create a variety of visualizations, from simple plots to complex interactive graphics. Through hands-on practice and case studies, students will learn how to choose the right visualization for their data, customize their plots, and create compelling visuals that convey meaningful insights. Optional case studies will allow students to deepen their understanding by applying these tools in real-world scenarios.
83/100
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- 32/45
- Who stands behind it
- 35/35
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- 16/20
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What you'll learn
- Understand the fundamentals of data visualization
- Use Matplotlib, Seaborn, and Plotly for creating visualizations
- Select appropriate visualizations for different data types
- Customize plots to enhance storytelling with data
- Apply data visualization techniques through case studies
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