This course is part of the Information Visualization Specialization

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30 ratings
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11 reviews

Enrico Bertini +1 more instructor

3,508 already enrolled

Offered By

Information Visualization SpecializationNew York University

About this Course

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This course aims to introduce learners to advanced visualization techniques beyond the basic charts covered in Information Visualization: Fundamentals. These techniques are organized around data types to cover advance methods for: temporal and spatial data, networks and trees and textual data. In this module we also teach learners how to develop innovative techniques in D3.js.
Learning Goals
Goal: Analyze the design space of visualization solutions for various kinds of data visualization problems. Learn what designs are available for a given problem and what are their respective advantages and disadvantages.
- Temporal
- Spatial
- Spatio-Temporal
- Networks
- Trees
- Text

This is the fourth course in the Information Visualization Specialization. The course expects you to have some basic knowledge of programming as well as some basic visualization skills (as those introduced in the first course of the specialization).

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Shareable Certificate

Earn a Certificate upon completion

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Course 4 of 4 in the

Information Visualization Specialization

Intermediate Level

Approx. 16 hours to complete

English

Subtitles: English

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 4 of 4 in the

Information Visualization Specialization

Intermediate Level

Approx. 16 hours to complete

English

Subtitles: English

Instructors

Instructor rating

4.66/5 (6 Ratings)

Enrico Bertini

Associate Professor

Computer Science and Engineering

18,498 Learners

4 Courses

Cristian Felix

PhD. Candidate

Computer Science and Engineering

18,498 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

4 hours to complete

Visualizing Geographical Data

4 hours to complete

18 videos (Total 116 min), 1 reading, 1 quiz

18 videos

Introduction to Specialization6m

What is Geographical Data?8m

When / Why Use a Map?10m

Maps are Not Always the Best or Only Solution!7m

Dot Maps2m

Heat Maps8m

Hexbin Maps3m

Choropleth Maps9m

Graduated Symbol Maps10m

Common Issues With Maps2m

Insensitivity To Sample Size4m

Skewed Spatial Distributions6m

Perceptual Issues4m

Map Projections6m

Interference from Map Features4m

Visualizing Maps + Time9m

Faceting / Small Multiples4m

Recapitulation5m

1 reading

Ballot Maps Project and Choropleth Maps1h 10m

Week

Week 2

3 hours to complete

Visualizing Network Data

3 hours to complete

18 videos (Total 101 min), 1 reading, 1 quiz

18 videos

Tabular Data5m

How do you visualize network data?5m

Additional Attributes7m

Node-Link Diagrams6m

Edge Bundling5m

Fixed Layout: Spatial3m

Clutter Reduction Methods4m

Matrices7m

Part 2 Trees (Hierarchies)4m

Node-Link Trees5m

Special Kind of Trees6m

Decision Trees4m

Trees: Space-Partitioning and Containment Methods6m

Area: Quantity5m

Problem with “Slice-and-Dice” Layout5m

Treemap Advantages/ Disadvantages3m

Sunburst and Icicle Plots4m

Summary and Observations9m

1 reading

Network Visualization Projects40m

Week

Week 3

3 hours to complete

Visualizing Temporal Data

3 hours to complete

14 videos (Total 66 min), 1 reading, 1 quiz

14 videos

Visualizing Temporal Data5m

Temporal Information5m

Hierarchical Structure / Resolution4m

Visualization Methods5m

Small Multiple Line Charts and Area Charts6m

Effect of “Aspect Ratio” on Line Charts2m

Beyond Line Charts3m

Similar Design Works3m

How do you Visualize Event Data When Events Have a Duration?3m

Visualizing Periodic Phenomena4m

Radial Layouts5m

Increasing Visual Scalability of Timelines6m

Beyond Using Position3m

Recapitulation6m

1 reading

Visualizing Time Series1h 10m

Week

Week 4

5 hours to complete

Interaction and Multiple Views

5 hours to complete

22 videos (Total 136 min), 1 reading, 1 quiz

22 videos

Interaction & Multiple Views7m

Information Visualization Pipeline7m

Why Manipulate Visualizations?3m

Single / Multiple Views2m

Selection4m

Select → Highlight5m

Select → Show More Information and Select → Apply Operation2m

Navigation5m

Spatial Arrangement2m

Demo Using “LineUp”4m

Video Demo of “Bertifier”5m

Change Mapping5m

Aggregation4m

Filtering5m

Multiple Linked Views5m

Show Different Properties of the Same Data Simultaneously3m

Examples6m

Scenarios and Patterns5m

Scenario 22m

Scenario 37m

Summary6m

Interview with Manuel Lima32m

1 reading

The Value of Interaction2h

Reviews

4.7

11 reviews

5 stars
80%
4 stars
16.66%
2 stars
3.33%

TOP REVIEWS FROM INFORMATION VISUALIZATION: ADVANCED TECHNIQUES

by TANov 14, 2018

Excellent course; the topics discussed here are essential for learning about complex / multi-faceted data visualisations.

by AASep 8, 2019

great course. helped me understand the concepts involved in a 'scientific' rather than 'art'.

by VSJun 14, 2020

Great course, good content, and good assignments to top it all off.

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, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

More questions? Visit the Learner Help Center.

Information Visualization: Advanced Techniques

About this Course