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.
Este curso forma parte de Programa Especializado - Visualización de la información
Information Visualization: Foundations
ofrecido por
Programa Especializado - Visualización de la información New York University Tandon School of Engineering
Programa - Qué aprenderás en este curso
Semana
12 horas para completar
Introduction to Information Visualization
20 videos (Total 70 minutos), 1 reading, 2 quizzes
20 videos
Introduction to the Course1m
Information Visualization Definition1m
Visualization Example: Introductory Demo with Tableau2m
Key Concepts and Definitions51s
The InfoVis pipeline (Diagram of Data Visualization Process)1m
Key Concept: Computer Based Graphical Representations and Visualizing Abstract Data3m
Key Concept: Interactivity1m
Key Concept: Amplifying Cognition6m
Example of Amplifying Cognition: "The Game of 15"3m
Why Visualize Data?2m
Why Use Visualization?3m
Example of Explanatory Visualization4m
Examples of Exploratory and Confirmatory Visualization6m
Examples of Explanatory Visualizations and Tools3m
Why Use a Graphical Representation?5m
Problems with Summary Statistics2m
Why Use Computers to Visualize Data?2m
Why Use Interaction?2m
Assessing the Quality of a Visualization6m
1 lectura
A Tour Through the Visualization Zoo30m
2 ejercicios de práctica
What is Information Visualization20m
A Tour through the Visualization Zoo10m
Semana
23 horas para completar
Data Abstraction
9 videos (Total 56 minutos), 2 quizzes
9 videos
What is Data Abstraction?7m
Dataset Types: Tables and Networks5m
Attribute Types5m
Attribute Semantics7m
Example for Attribute Types and Semantics5m
Data Abstraction to Visualization8m
Data Profiling5m
Quick Recap2m
2 ejercicios de práctica
Data Abstraction20m
Identifying Attribute Types20m
Semana
34 horas para completar
Fundamental Graphs and Data Transformation
11 videos (Total 64 minutos), 2 readings, 1 quiz
11 videos
How to Visualize?3m
Fundamental Graphs9m
Alternate Representations Part 111m
Alternate Representations Part 26m
Going Beyond Two Attributes6m
Scatter Plots + Faceting4m
Data Transformation6m
Common / Useful Data Transformations - Part 14m
Common / Useful Data Transformations - Part 25m
Summary3m
2 lecturas
Tutorial: The Tableau Interface10m
Tutorial: Getting Started with Tableau25m
Semana
43 horas para completar
Graphical Components and Mapping Strategies
18 videos (Total 105 minutos), 1 reading, 1 quiz
18 videos
Marks + Channels1m
Marks5m
Channels, Part 16m
Channels, Part 27m
Examples for Graphical Components3m
Graphical "Decoding"8m
Quality of visual encoding: Expressiveness Principle7m
Quality of Visual Encoding: Effectiveness Principle, Part 110m
Quality of Visual Encoding: Effectiveness Principle, Part 24m
Evaluate Visualizations8m
Using the Principles to Design Visualization4m
Contextual Components: Legends, Labels, and Annotations4m
Annotations5m
Contextual Components: Axes, Grids, Reference Lines7m
Quick Summary4m
Conclusion1m
Interview with Moritz Stefaner7m
1 lectura
Evaluation of Artery Visualizations for Heart Disease Diagnosis30m
4.6
8 revisiones67%
comenzó una nueva carrera después de completar estos cursos
67%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
Principales revisiones
por RH•Oct 29th 2018
Great course! Not too complicated and covers fundamental topics about visual encoding and decoding.\n\nThe explanation is clear and concise.\n\nThank you Professor Enrico!
por TA•Oct 29th 2018
Very good course - it gives a good overview over the basics!
Instructores
Enrico Bertini
Associate ProfessorComputer Science and Engineering
Cristian Felix
PhD. CandidateComputer Science and Engineering
Acerca de New York University Tandon School of Engineering
Tandon offers comprehensive courses in engineering, applied science and technology. Each course is rooted in a tradition of invention and entrepreneurship.
Acerca del programa especializado Visualización de la información
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.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.
¿Qué recibiré si me suscribo a este Programa especializado?
Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.
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