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.
Ce cours fait partie de la Spécialisation Visualisation d'informations
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Spécialisation Visualisation d'informations New York UniversityÀ propos de ce cours
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Résultats de carrière des étudiants
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40%
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Niveau débutant
Approx. 12 heures pour terminer
Anglais
Sous-titres : Anglais, Arabe
Résultats de carrière des étudiants
50%
ont commencé une nouvelle carrière après avoir terminé ce cours
40%
ont bénéficié d'un avantage concret dans leur carrières grâce à ce cours
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 1 sur 4 dans le
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Niveau débutant
Approx. 12 heures pour terminer
Anglais
Sous-titres : Anglais, Arabe
Offert par
New York University
Tandon offers comprehensive courses in engineering, applied science and technology. Each course is rooted in a tradition of invention and entrepreneurship.
Programme du cours : ce que vous apprendrez dans ce cours
2 heures pour terminer
Introduction to Information Visualization
2 heures pour terminer
20 vidéos (Total 70 min), 1 lecture, 2 quiz
20 vidéos
Introduction to the Course1 min
Information Visualization Definition1 min
Visualization Example: Introductory Demo with Tableau2 min
Key Concepts and Definitions51s
The InfoVis pipeline (Diagram of Data Visualization Process)1 min
Key Concept: Computer Based Graphical Representations and Visualizing Abstract Data3 min
Key Concept: Interactivity1 min
Key Concept: Amplifying Cognition6 min
Example of Amplifying Cognition: "The Game of 15"3 min
Why Visualize Data?2 min
Why Use Visualization?3 min
Example of Explanatory Visualization4 min
Examples of Exploratory and Confirmatory Visualization6 min
Examples of Explanatory Visualizations and Tools3 min
Why Use a Graphical Representation?5 min
Problems with Summary Statistics2 min
Why Use Computers to Visualize Data?2 min
Why Use Interaction?2 min
Assessing the Quality of a Visualization6 min
1 lecture
A Tour Through the Visualization Zoo30 min
2 exercices pour s'entraîner
What is Information Visualization20 min
A Tour through the Visualization Zoo10 min
3 heures pour terminer
Data Abstraction
3 heures pour terminer
9 vidéos (Total 56 min)
9 vidéos
Reflecting on Data7 min
What is Data Abstraction?7 min
Dataset Types: Tables and Networks5 min
Attribute Types5 min
Attribute Semantics7 min
Example for Attribute Types and Semantics5 min
Data Abstraction to Visualization8 min
Data Profiling5 min
Quick Recap2 min
2 exercices pour s'entraîner
Data Abstraction20 min
Identifying Attribute Types1h 20min
4 heures pour terminer
Fundamental Graphs and Data Transformation
4 heures pour terminer
11 vidéos (Total 64 min), 2 lectures, 1 quiz
11 vidéos
How to Visualize?3 min
Fundamental Graphs9 min
Alternate Representations Part 111 min
Alternate Representations Part 26 min
Going Beyond Two Attributes6 min
Scatter Plots + Faceting4 min
Data Transformation6 min
Common / Useful Data Transformations - Part 14 min
Common / Useful Data Transformations - Part 25 min
Summary3 min
2 lectures
Tutorial: The Tableau Interface10 min
Tutorial: Getting Started with Tableau25 min
3 heures pour terminer
Graphical Components and Mapping Strategies
3 heures pour terminer
18 vidéos (Total 105 min), 1 lecture, 1 quiz
18 vidéos
Marks + Channels1 min
Marks5 min
Channels, Part 16 min
Channels, Part 27 min
Examples for Graphical Components3 min
Graphical "Decoding"8 min
Quality of visual encoding: Expressiveness Principle7 min
Quality of Visual Encoding: Effectiveness Principle, Part 110 min
Quality of Visual Encoding: Effectiveness Principle, Part 24 min
Evaluate Visualizations8 min
Using the Principles to Design Visualization4 min
Contextual Components: Legends, Labels, and Annotations4 min
Annotations5 min
Contextual Components: Axes, Grids, Reference Lines7 min
Quick Summary4 min
Conclusion1 min
Interview with Moritz Stefaner7 min
1 lecture
Evaluation of Artery Visualizations for Heart Disease Diagnosis30 min
Avis
Meilleurs avis pour INFORMATION VISUALIZATION: FOUNDATIONS
par SJ21 janv. 2020
Some of the quizzes had wrong answers/ different answers to what was taught in the course. They have been mentioned multiple times by many in Course discussions but still seems to have been not fixed.
par EM23 juin 2019
Great intro to basics about information visualization. Would be a bit better if after doing the assessments the correct answers were provided as a guide to the peer review.
par RH28 oct. 2018
Great course! Not too complicated and covers fundamental topics about visual encoding and decoding. The explanation is clear and concise.\n\nThank you Professor Enrico!
par N9 juin 2019
Well explained from a conceptual sense. Good to get a basic hands on experience with Tableau as part of the course.
À propos du Spécialisation Visualisation d'informations
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.
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