Global Certificate in Data Visualization: Poetic Applications

• Fundamentals of Data Visualization: An introduction to data visualization principles, best practices, and tools. • Poetic Data Visualization: Exploring the intersection of data visualization and poetry, and how to use visualization as a form of poetic expression. • Data Storytelling Techniques: Techniques for crafting compelling data-driven narratives, including visual metaphors, imagery, and emotional appeals. • Visual Design for Data Visualization: Design principles for creating effective visualizations, including color theory, typography, and layout. • Data Analysis for Poetic Visualization: Statistical methods for analyzing data to inform poetic visualization, including data cleaning, normalization, and statistical significance. • Interactive Data Visualization: Techniques for creating interactive visualizations that engage and immerse the viewer, including animation, interactivity, and immersive experiences. • Evaluating and Improving Data Visualizations: Methods for evaluating the effectiveness of data visualizations and iteratively improving them. • Data Ethics and Visualization: Ethical considerations in data visualization, including data privacy, bias, and misinformation. • Case Studies in Poetic Data Visualization: Analysis of real-world examples of poetic data visualization, including their effectiveness and impact.

Note: The primary keyword for this course is "Data Visualization" and the secondary keyword is "Poetic Applications".