In this course, you’ll learn how to use Python libraries like Matplotlib, Seaborn, and Basemap to transform raw data into compelling and actionable visualizations. By understanding the most common data visualization techniques, you’ll be able to use Python to generate beautiful, insightful, and meaningful visuals that will give new life to your data.

This course focuses on:

• Introducing common data visualization concepts and techniques in Python.
• Building proficiency in Python libraries like Matplotlib, Seaborn, and Basemap.
• Optimizing your creation and presentation of persuasive data visualizations.

The Program

1. Design for an Audience.
2. Storytelling Data Visualization.
3. Gestalt Principles and Pre-Attentive Attributes.
4. Matplotlib Styles: FiveThirtyEight Case Study.
5. Guided Project: Storytelling Data Visualization on Exchange Rates.

What will you learn

• How to create graphs using information design principles.
• How to create visual patterns using Gestalt principles.
• How to employ Matplotlib’s built-in styles.
• How to create narrative data visualizations using Matplotlib.
• How to control attention using pre-attentive attributes.