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New York University (NYU)

Information Visualization

New York University (NYU) via Coursera Specialization


This specialization provides learners with the necessary knowledge and practical skills to develop a strong foundation in information visualization and to design and develop advanced applications for visual data analysis. The specialization is characterized by two main complementary features: (1) providing a strong understanding of visual perception and the theory of visual encoding to design and evaluate innovative visualization methods; (2) providing the necessary skills to develop advanced web-based applications for visual data analysis. The specialization is organized around four courses that cover fundamentals, applied perception, advanced visualization method and interactive visualization. The specialization is meant to prepare students to work on complex data science projects that require the development of interactive visual interfaces for data analysis. The courses can also be taken individually to improve relevant skills in visualization. For instance, the course on applied perception provides unique skills to evaluate and design innovative visualization in all sorts of scenarios.


Course 1: Information Visualization: Foundations
- Offered by New York University. The main goal of this specialization is to provide the knowledge and practical skills necessary to develop a ... Enroll for free.

Course 2: Information Visualization: Applied Perception
- Offered by New York University. This module aims at introducing fundamental concepts of visual perception applied to information ... Enroll for free.

Course 3: Information Visualization: Programming with D3.js
- Offered by New York University. In this course you will learn how to use D3.js to create powerful visualizations for web. Learning D3.js ... Enroll for free.

Course 4: Information Visualization: Advanced Techniques
- Offered by New York University. This course aims to introduce learners to advanced visualization techniques beyond the basic charts covered ... Enroll for free.


Taught by

Cristian Felix and Enrico Bertini


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