Data Visualization

2 Credits.

Explores the principles and practices of effective data visualization. Emphasizes the role of visualization in statistical reasoning, modeling, and communication. Prepares students to create clear, accurate, and impactful visualizations for audiences in both academia and industry. Discusses strategies for conveying complex ideas with data, addressing common pitfalls and challenges. Focuses on examples from epidemiology, public health, and applied data science to demonstrate real-world applications. Practical applications will be taught primarily using R, ggplot2, and supporting libraries. Techniques using Python, Stata, and time series dashboard software will also be addressed.