Este curso faz parte do Programa de cursos integrados Information Visualization
Information Visualization: Foundations
oferecido por
Programa de cursos integrados Information Visualization New York University Tandon School of Engineering
Informações sobre o curso
4.6
7 classificações
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.
Programa - O que você aprenderá com este curso
1
Seção
Introduction to Information Visualization
20 vídeos (Total de 70 min), 1 leitura, 2 testes
20 videos
Introduction to the Course1min
Information Visualization Definition1min
Visualization Example: Introductory Demo with Tableau2min
Key Concepts and Definitionsmin
The InfoVis pipeline (Diagram of Data Visualization Process)1min
Key Concept: Computer Based Graphical Representations and Visualizing Abstract Data3min
Key Concept: Interactivity1min
Key Concept: Amplifying Cognition6min
Example of Amplifying Cognition: "The Game of 15"3min
Why Visualize Data?2min
Why Use Visualization?3min
Example of Explanatory Visualization4min
Examples of Exploratory and Confirmatory Visualization6min
Examples of Explanatory Visualizations and Tools3min
Why Use a Graphical Representation?5min
Problems with Summary Statistics2min
Why Use Computers to Visualize Data?2min
Why Use Interaction?2min
Assessing the Quality of a Visualization6min
1 leituras
A Tour Through the Visualization Zoo30min
2 exercícios práticos
What is Information Visualization20min
A Tour through the Visualization Zoo10min
2
Seção
Data Abstraction
9 vídeos (Total de 56 min), 2 testes
9 videos
What is Data Abstraction?7min
Dataset Types: Tables and Networks5min
Attribute Types5min
Attribute Semantics7min
Example for Attribute Types and Semantics5min
Data Abstraction to Visualization8min
Data Profiling5min
Quick Recap2min
2 exercícios práticos
Data Abstraction20min
Identifying Attribute Types20min
3
Seção
Fundamental Graphs and Data Transformation
11 vídeos (Total de 64 min), 2 leituras, 1 teste
11 videos
How to Visualize?3min
Fundamental Graphs9min
Alternate Representations Part 111min
Alternate Representations Part 26min
Going Beyond Two Attributes6min
Scatter Plots + Faceting4min
Data Transformation6min
Common / Useful Data Transformations - Part 14min
Common / Useful Data Transformations - Part 25min
Summary3min
2 leituras
Tutorial: The Tableau Interface10min
Tutorial: Getting Started with Tableau25min
4
Seção
Graphical Components and Mapping Strategies
18 vídeos (Total de 105 min), 1 leitura, 1 teste
18 videos
Marks + Channels1min
Marks5min
Channels, Part 16min
Channels, Part 27min
Examples for Graphical Components3min
Graphical "Decoding"8min
Quality of visual encoding: Expressiveness Principle7min
Quality of Visual Encoding: Effectiveness Principle, Part 110min
Quality of Visual Encoding: Effectiveness Principle, Part 24min
Evaluate Visualizations8min
Using the Principles to Design Visualization4min
Contextual Components: Legends, Labels, and Annotations4min
Annotations5min
Contextual Components: Axes, Grids, Reference Lines7min
Quick Summary4min
Conclusion1min
Interview with Moritz Stefaner7min
1 leituras
Evaluation of Artery Visualizations for Heart Disease Diagnosis30min
Instrutores
Enrico Bertini
Associate ProfessorComputer Science and Engineering
Cristian Felix
PhD. CandidateComputer Science and Engineering
Sobre 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.
Sobre o Programa de cursos integrados Information Visualization
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.
Perguntas Frequentes – FAQ
When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
Is financial aid available?
Mais dúvidas? Visite o Central de Ajuda ao Aprendiz.
O Coursera proporciona acesso universal à melhor educação do mundo fazendo parcerias com as melhores universidades e organizações para oferecer cursos on-line.
© 2018 Coursera Inc. Todos os direitos reservados.
