Spezialisierung Informationsvisualisierung
Design, evaluate and develop data visualizations. Master the foundational principles and practice of information visualization
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Was Sie lernen werden
Select the right visualization methods for a given data analysis and presentation problem
Evaluate the quality of graphs according to their expressiveness and effectiveness
Inspect Accuracy, Discriminability, Salience, and Separability, and their implications for design.
Create data visualizations using D3.js
Kompetenzen, die Sie erwerben
Über dieses Spezialisierung
Praktisches Lernprojekt
Projects in the specialization allow students to decode, critique, and redesign visualizations, design effective color scales, and design and develop a full interactive visualization using real-world data sets. Each project is designed to enable students to demonstrate mastery of the course learning objectives.
Basic programming experience is necessary to complete projects in this course. Familiarity with JavaScript is a plus.
Basic programming experience is necessary to complete projects in this course. Familiarity with JavaScript is a plus.
Es gibt 4 Kurse in dieser Spezialisierung
Information Visualization: Foundations
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.
Information Visualization: Applied Perception
This module aims at introducing fundamental concepts of visual perception applied to information visualization. These concepts help the student ideate and evaluate visualization designs in terms of how well they leverage the capabilities of the human perceptual machinery.
Information Visualization: Programming with D3.js
In this course you will learn how to use D3.js to create powerful visualizations for web. Learning D3.js will enable you to create many different types of visualization and to visualize many different data types. It will give you the freedom to create something as simple as a bar chart as well your own new revolutionary technique.
Information Visualization: Advanced Techniques
This course aims to introduce learners to advanced visualization techniques beyond the basic charts covered in Information Visualization: Fundamentals. These techniques are organized around data types to cover advance methods for: temporal and spatial data, networks and trees and textual data. In this module we also teach learners how to develop innovative techniques in D3.js.
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New York University
New York University is a leading global institution for scholarship, teaching, and research. Based in New York City with campuses and sites in 14 additional major cities across the world, NYU embraces diversity among faculty, staff and students to ensure the highest caliber, most inclusive educational experience.
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