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 is part of the Information Visualization Specialization
Offered By
Information Visualization SpecializationNew York UniversityAbout this Course
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Learner Career Outcomes
50%
started a new career after completing these courses
33%
got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 1 of 4 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 12 hours to complete
English
Subtitles: English, Arabic
Learner Career Outcomes
50%
started a new career after completing these courses
33%
got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 1 of 4 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 12 hours to complete
English
Subtitles: English, Arabic
Offered by
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.
Syllabus - What you will learn from this course
2 hours to complete
Introduction to Information Visualization
2 hours to complete
20 videos (Total 70 min), 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 reading
A Tour Through the Visualization Zoo30m
2 practice exercises
What is Information Visualization20m
A Tour through the Visualization Zoo10m
3 hours to complete
Data Abstraction
3 hours to complete
9 videos (Total 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 practice exercises
Data Abstraction20m
Identifying Attribute Types1h 20m
4 hours to complete
Fundamental Graphs and Data Transformation
4 hours to complete
11 videos (Total 64 min), 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 readings
Tutorial: The Tableau Interface10m
Tutorial: Getting Started with Tableau25m
3 hours to complete
Graphical Components and Mapping Strategies
3 hours to complete
18 videos (Total 105 min), 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 reading
Evaluation of Artery Visualizations for Heart Disease Diagnosis30m
Reviews
TOP REVIEWS FROM INFORMATION VISUALIZATION: FOUNDATIONS
by SJJan 21, 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.
by EMJun 23, 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.
by RHOct 28, 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!
by NJun 9, 2019
Well explained from a conceptual sense. Good to get a basic hands on experience with Tableau as part of the course.
About the Information Visualization Specialization
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.
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