Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Learn essential data science visualization techniques in this comprehensive lecture covering filtering, aggregation, and interactive visualization methods. Explore centered widgets, dynamic queries, and sketch-based queries while understanding their practical applications in data analysis. Dive into clustering algorithms including K-means, DBSCAN, and hierarchical clustering, with special attention to their properties and comparative advantages. Examine real-world applications through a case study on gerrymandering, understanding both its concept and examples. Master interactive legends and visualization techniques that enhance data exploration and presentation. Conclude with a design critique session to develop critical evaluation skills for creating effective data visualizations.