About this Course
4.7
24 ratings
8 reviews
Specialization
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Beginner Level

Beginner Level

Hours to complete

Approx. 17 hours to complete

Suggested: 6 hours/week...
Available languages

English

Subtitles: English, Arabic
Specialization
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Beginner Level

Beginner Level

Hours to complete

Approx. 17 hours to complete

Suggested: 6 hours/week...
Available languages

English

Subtitles: English, Arabic

Syllabus - What you will learn from this course

Week
1
Hours to complete
2 hours to complete

Introduction to Information Visualization

...
Reading
20 videos (Total 70 min), 1 reading, 2 quizzes
Video20 videos
Introduction to the Course1m
Information Visualization Definition1m
Visualization Example: Introductory Demo with Tableau2m
Key Concepts and Definitionsm
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
Reading1 reading
A Tour Through the Visualization Zoo30m
Quiz2 practice exercises
What is Information Visualization20m
A Tour through the Visualization Zoo10m
Week
2
Hours to complete
3 hours to complete

Data Abstraction

...
Reading
9 videos (Total 56 min), 2 quizzes
Video9 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
Quiz2 practice exercises
Data Abstraction20m
Identifying Attribute Types20m
Week
3
Hours to complete
4 hours to complete

Fundamental Graphs and Data Transformation

...
Reading
11 videos (Total 64 min), 2 readings, 1 quiz
Video11 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
Reading2 readings
Tutorial: The Tableau Interface10m
Tutorial: Getting Started with Tableau25m
Week
4
Hours to complete
3 hours to complete

Graphical Components and Mapping Strategies

...
Reading
18 videos (Total 105 min), 1 reading, 1 quiz
Video18 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
Reading1 reading
Evaluation of Artery Visualizations for Heart Disease Diagnosis30m
4.7
8 ReviewsChevron Right

Top Reviews

By RHOct 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!

By TAOct 29th 2018

Very good course - it gives a good overview over the basics!

Instructors

Avatar

Enrico Bertini

Associate Professor
Computer Science and Engineering
Avatar

Cristian Felix

PhD. Candidate
Computer Science and Engineering

About 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....

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

  • 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.

  • 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.

More questions? Visit the Learner Help Center.