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Examines perceptual modeling and spatial thinking in visual intelligence, exploring theories, cognitive maps, and the interplay between bottom-up and top-down processing.
Covers the fundamentals of scaling to massive data using Spark, focusing on RDDs, transformations, actions, Spark architecture, and Spark's machine learning toolkit.
Explores the system of graphics in cartographic representations, focusing on visual variables, their properties, and implications for information perception.
Focuses on evaluating business opportunities, turning assumptions into testable hypotheses, and using the Market Opportunity Navigator tool with real-life examples.
