This course is part of the Information Visualization Specialization

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193 ratings

Enrico Bertini +1 more instructor

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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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Shareable Certificate

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Course 1 of 4 in the

Information Visualization Specialization

Beginner Level

Approx. 12 hours to complete

English

Subtitles: English, Arabic

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.

Course 1 of 4 in the

Information Visualization Specialization

Beginner Level

Approx. 12 hours to complete

English

Subtitles: English, Arabic

Instructors

Instructor rating

4.61/5 (44 Ratings)

Enrico Bertini

Associate Professor

Computer Science and Engineering

20,044 Learners

4 Courses

Cristian Felix

PhD. Candidate

Computer Science and Engineering

20,044 Learners

4 Courses

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

Week

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 Specialization6m

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

Week 2

3 hours to complete

Data Abstraction

3 hours to complete

9 videos (Total 56 min)

Week

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 Transformation1m

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

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 Strategies6m

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

4.5

54 reviews

5 stars
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4 stars
17.34%
3 stars
6.12%
2 stars
1.53%
1 star
3.06%

TOP REVIEWS FROM INFORMATION VISUALIZATION: FOUNDATIONS

by JLJun 23, 2019

Good introduction to learning Tableau in addition to concepts.

by TTSep 5, 2019

Great course, it really game the skills and confidence to know what to do given a dataset

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.

Thank you Professor Enrico!

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.

Information Visualization: Foundations

About this Course