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Information Visualization: Foundations

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The main goal of this specialization is to provide the knowledge and practical skills necessary to develop a strong foundation on information visualization and to design and develop advanced applications for visual data analysis. This course aims at introducing fundamental knowledge for information visualization. The main goal is to provide the students with the necessary “vocabulary” to describe visualizations in a way that helps them reason about what designs are appropriate for a given problem. This module also gives a broad overview of the field of visualization, introducing its goals, methods and applications. A learner with some or no previous knowledge in Information Visualization will get a sense of what visualization is, what it is for and in how many different situations it can be applied; will practice to describe data in a way that is useful for visualization design; will familiarize with fundamental charts to talk about the concept of visual encoding and decoding.

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Discover the world of Information Visualization with this fundamental course designed to equip you with the essential knowledge and practical skills to create sophisticated visual data analysis applications. Delve into the core concepts, vocabulary, and methods of information visualization, enabling you to select and design effective visualizations for diverse problems. Guided by expert instructors from Coursera, this foundational course offers a comprehensive overview of visualization goals, techniques, and applications. Whether you're a beginner or have some prior knowledge, you'll learn to articulate the purpose and utility of visualization, practice data description for design, and become familiar with basic charts and visual encoding/decoding principles. Over the span of 720 hours, you'll build a solid base in IT & Computer Science, preparing you to advance in the field of Information Visualization. Available under the Starter subscription, this course is ideal for anyone looking to enhance their understanding and application of data visualization techniques.