Data Visualization

Topics

• Apply appropriate visualization techniques for exploratory data analysis, including understanding distributions and relationships, and identifying patterns and anomalies Design explanatory charts that clearly convey insights to intended audiences, and organize these visualizations into coherent narratives for presentation Critically evaluate visualizations created by others, identifying both effective techniques and problematic design choices that may mislead viewers Create effective visualizations using Tableau and code-based libraries in R and/or Python

Official catalogue course objectives and student learning outcomes