- Information Visualization (INFOVIS)
- D3.Js
- Data Visualization (DataViz)
信息可视化 專項課程
Design, evaluate and develop data visualizations. Master the foundational principles and practice of information visualization
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您將學到的內容有
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
您將獲得的技能
關於此 專項課程
應用的學習項目
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.
專項課程的運作方式
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實踐項目
每個專項課程都包括實踐項目。您需要成功完成這個(些)項目才能完成專項課程並獲得證書。如果專項課程中包括單獨的實踐項目課程,則需要在開始之前完成其他所有課程。
獲得證書
在結束每門課程並完成實踐項目之後,您會獲得一個證書,您可以向您的潛在雇主展示該證書並在您的職業社交網絡中分享。

此專項課程包含 4 門課程
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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Do I need to take the courses in a specific order?
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