About this Course

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Learner Career Outcomes

50%

started a new career after completing these courses

40%

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.
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

40%

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.
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 logo

New York University

Syllabus - What you will learn from this course

Week
1

Week 1

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
Week
2

Week 2

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
Week
3

Week 3

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
Week
4

Week 4

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

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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. 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....
Information Visualization

Frequently Asked Questions

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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.
  • 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.

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