This course is part of the Information Visualization Specialization

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200 ratings

Enrico Bertini +1 more instructor

12,319 already enrolled

Offered By

Information Visualization SpecializationNew York University

About this Course

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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.

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Course 1 of 4 in the

Information Visualization Specialization

Beginner Level

Approx. 11 hours to complete

English

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Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 1 of 4 in the

Information Visualization Specialization

Beginner Level

Approx. 11 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructors

Instructor rating

4.62/5 (45 Ratings)

Enrico Bertini

Associate Professor

Computer Science and Engineering

21,670 Learners

4 Courses

Cristian Felix

PhD. Candidate

Computer Science and Engineering

21,670 Learners

4 Courses

Offered by

New York University

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Syllabus - What you will learn from this course

Content Rating91%(1,008 ratings)

Week1

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 Specialization6mIntroduction to the Course1mInformation Visualization Definition1mVisualization Example: Introductory Demo with Tableau2mKey Concepts and Definitions51sThe InfoVis pipeline (Diagram of Data Visualization Process)1mKey Concept: Computer Based Graphical Representations and Visualizing Abstract Data3mKey Concept: Interactivity1mKey Concept: Amplifying Cognition6mExample of Amplifying Cognition: "The Game of 15"3mWhy Visualize Data?2mWhy Use Visualization?3mExample of Explanatory Visualization4mExamples of Exploratory and Confirmatory Visualization6mExamples of Explanatory Visualizations and Tools3mWhy Use a Graphical Representation?5mProblems with Summary Statistics2mWhy Use Computers to Visualize Data?2mWhy Use Interaction?2mAssessing the Quality of a Visualization6m

1 reading

A Tour Through the Visualization Zoo30m

2 practice exercises

What is Information Visualization20mA Tour through the Visualization Zoo10m

Week2

Week 2

3 hours to complete

Data Abstraction

3 hours to complete

9 videos (Total 56 min)

Week3

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

Overview: Fundamental Graphs and Data Transformation1mHow to Visualize?3mFundamental Graphs9mAlternate Representations Part 111mAlternate Representations Part 26mGoing Beyond Two Attributes6mScatter Plots + Faceting4mData Transformation6mCommon / Useful Data Transformations - Part 14mCommon / Useful Data Transformations - Part 25mSummary3m

2 readings

Tutorial: The Tableau Interface10mTutorial: Getting Started with Tableau25m

Week4

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

Overview: Graphical Components and Mapping Strategies6mMarks + Channels1mMarks5mChannels, Part 16mChannels, Part 27mExamples for Graphical Components3mGraphical "Decoding"8mQuality of visual encoding: Expressiveness Principle7mQuality of Visual Encoding: Effectiveness Principle, Part 110mQuality of Visual Encoding: Effectiveness Principle, Part 24mEvaluate Visualizations8mUsing the Principles to Design Visualization4mContextual Components: Legends, Labels, and Annotations4mAnnotations5mContextual Components: Axes, Grids, Reference Lines7mQuick Summary4mConclusion1mInterview with Moritz Stefaner7m

1 reading

Evaluation of Artery Visualizations for Heart Disease Diagnosis30m

Reviews

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TOP REVIEWS FROM INFORMATION VISUALIZATION: FOUNDATIONS

by VGApr 18, 2020

Excellent Course by NYU , Professor enrico's classes are really good.

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 ATAug 22, 2019

Great course, thorough, easy to follow and full of resources to deepen the knowledge.

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.

View all reviews

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.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
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.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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Information Visualization: Foundations

About this Course