Introduction to Data Visualization

An exploratory and immersive journey of making information understandable and useful.

Objective & Outcomes

This course will take on these interrelated awareness, educational, and communication design challenges while striving to build student skillsets in a wide variety of contemporary design application spaces. Students will complete a variety of data research and visualization challenges throughout the course, explore data aesthetics and persuasion techniques, develop coding skills and data manipulation and research abilities, and complete a self-defined project focused on interactive and journalistic data storytelling.

Typical Schedule

Session 1: Introduction to Data Visualization with Python
Session 2: Data Wrangling for Visualization
Session 3: Advanced Plotting with Matplotlib
Session 4: Interactive Visualization with Plotly
Session 5: Geographic Visualization with Geopandas & Folium
Session 6: Statistical Visualization with Seaborn
Session 7: Final Project