Data Visualization using Python

IBM’s Data Visualization Using Python course provides a comprehensive understanding of how Python libraries such as Matplotlib, Seaborn, and Folium are used for creating and customizing graphical representation outputs for both small and large-scale data sets¹². In this course, you’ll learn to:

1. Visualize Data with Matplotlib:
   • Understand the basics of Matplotlib, a powerful plotting library.
   • Create various types of plots, including line plots, scatter plots, bar charts, and histograms.
2. Enhance Visualizations with Seaborn:
   • Explore Seaborn, a statistical data visualization library.
   • Customize plots, add color palettes, and create visually appealing visualizations.
3. Create Interactive Maps with Folium:
   • Learn how to use Folium to generate interactive maps.
   • Display geographical data and overlay it with additional information.

By mastering these skills, you’ll be able to effectively communicate insights from your data through compelling visualizations. 🌟🔍🚀 ¹²