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).
This course is part of the Information Visualization Specialization
Information Visualization: Advanced Techniques
Offered By
Syllabus - What you will learn from this course
Week
15 hours to complete
Visualizing Geographical Data
18 videos (Total 116 min), 1 reading, 1 quiz
18 videos
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 Maps10m
Week
24 hours to complete
Visualizing Network Data
18 videos (Total 101 min), 1 reading, 1 quiz
18 videos
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
34 hours to complete
Visualizing Temporal Data
14 videos (Total 66 min), 1 reading, 1 quiz
14 videos
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 Series10m
Week
46 hours to complete
Interaction and Multiple Views
22 videos (Total 136 min), 1 reading, 1 quiz
22 videos
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 Interactions
4.3
2 ReviewsTop Reviews
Excellent course; the topics discussed here are essential for learning about complex / multi-faceted data visualisations.
Instructors
Enrico Bertini
Associate ProfessorComputer Science and Engineering
Cristian Felix
PhD. CandidateComputer 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.
Frequently Asked Questions
When will I have access to the lectures and assignments?
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.
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.
What is the refund policy?
Is financial aid available?
More questions? Visit the Learner Help Center.
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