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.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Informationsvisualisierung
von
Spezialisierung Informationsvisualisierung New York UniversityÜber diesen Kurs
25,590 kürzliche Aufrufe
Karriereergebnisse der Lernenden
50%
nahm einen neuen Beruf nach Abschluss dieser Kurse auf
40%
ziehen Sie für Ihren Beruf greifbaren Nutzen aus diesem Kurs
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Kurs 1 von 4 in
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Stufe „Anfänger“
Ca. 12 Stunden zum Abschließen
Englisch
Untertitel: Englisch, Arabischer Raum
Karriereergebnisse der Lernenden
50%
nahm einen neuen Beruf nach Abschluss dieser Kurse auf
40%
ziehen Sie für Ihren Beruf greifbaren Nutzen aus diesem Kurs
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Kurs 1 von 4 in
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Stufe „Anfänger“
Ca. 12 Stunden zum Abschließen
Englisch
Untertitel: Englisch, Arabischer Raum
von
New York University
Tandon offers comprehensive courses in engineering, applied science and technology. Each course is rooted in a tradition of invention and entrepreneurship.
Lehrplan - Was Sie in diesem Kurs lernen werden
2 Stunden zum Abschließen
Introduction to Information Visualization
2 Stunden zum Abschließen
20 Videos (Gesamt 70 min), 1 Lektüre, 2 Quiz
20 Videos
Introduction to the Course1m
Information Visualization Definition1m
Visualization Example: Introductory Demo with Tableau2m
Key Concepts and Definitions51
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 Lektüre
A Tour Through the Visualization Zoo30m
2 praktische Übungen
What is Information Visualization20m
A Tour through the Visualization Zoo10m
3 Stunden zum Abschließen
Data Abstraction
3 Stunden zum Abschließen
9 Videos (Gesamt 56 min)
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 praktische Übungen
Data Abstraction20m
Identifying Attribute Types1h 20m
4 Stunden zum Abschließen
Fundamental Graphs and Data Transformation
4 Stunden zum Abschließen
11 Videos (Gesamt 64 min), 2 Lektüren, 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 Lektüren
Tutorial: The Tableau Interface10m
Tutorial: Getting Started with Tableau25m
3 Stunden zum Abschließen
Graphical Components and Mapping Strategies
3 Stunden zum Abschließen
18 Videos (Gesamt 105 min), 1 Lektüre, 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 Lektüre
Evaluation of Artery Visualizations for Heart Disease Diagnosis30m
Bewertungen
Top-Bewertungen von INFORMATION VISUALIZATION: FOUNDATIONS
von SJ21. Jan. 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.
von EM23. Juni 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.
von RH28. Okt. 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!
von N9. Juni 2019
Well explained from a conceptual sense. Good to get a basic hands on experience with Tableau as part of the course.
Über den Spezialisierung Informationsvisualisierung
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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The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
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?
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Is financial aid available?
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