NYU - Information Visualization: Advanced Techniques
- Offered byCoursera
Information Visualization: Advanced Techniques at Coursera Overview
Duration | 16 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Information Visualization: Advanced Techniques at Coursera Highlights
- Earn a shareable certificate upon completion.
- Flexible deadlines according to your schedule.
Information Visualization: Advanced Techniques at Coursera Course details
- 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).
Information Visualization: Advanced Techniques at Coursera Curriculum
Visualizing Geographical Data
Introduction to Specialization
What is Geographical Data?
When / Why Use a Map?
Maps are Not Always the Best or Only Solution!
Dot Maps
Heat Maps
Hexbin Maps
Choropleth Maps
Graduated Symbol Maps
Common Issues With Maps
Insensitivity To Sample Size
Skewed Spatial Distributions
Perceptual Issues
Map Projections
Interference from Map Features
Visualizing Maps + Time
Faceting / Small Multiples
Recapitulation
Ballot Maps Project and Choropleth Maps
Visualizing Network Data
Tabular Data
How do you visualize network data?
Additional Attributes
Node-Link Diagrams
Edge Bundling
Fixed Layout: Spatial
Clutter Reduction Methods
Matrices
Part 2 Trees (Hierarchies)
Node-Link Trees
Special Kind of Trees
Decision Trees
Trees: Space-Partitioning and Containment Methods
Area: Quantity
Problem with ?Slice-and-Dice? Layout
Treemap Advantages/ Disadvantages
Sunburst and Icicle Plots
Summary and Observations
Network Visualization Projects
Visualizing Temporal Data
Visualizing Temporal Data
Temporal Information
Hierarchical Structure / Resolution
Visualization Methods
Small Multiple Line Charts and Area Charts
Effect of ?Aspect Ratio? on Line Charts
Beyond Line Charts
Similar Design Works
How do you Visualize Event Data When Events Have a Duration?
Visualizing Periodic Phenomena
Radial Layouts
Increasing Visual Scalability of Timelines
Beyond Using Position
Recapitulation
Visualizing Time Series
Interaction and Multiple Views
Interaction & Multiple Views
Information Visualization Pipeline
Why Manipulate Visualizations?
Single / Multiple Views
Selection
Select ? Highlight
Select ? Show More Information and Select ? Apply Operation
Navigation
Spatial Arrangement
Demo Using ?LineUp?
Video Demo of ?Bertifier?
Change Mapping
Aggregation
Filtering
Multiple Linked Views
Show Different Properties of the Same Data Simultaneously
Examples
Scenarios and Patterns
Scenario 2
Scenario 3
Summary
Interview with Manuel Lima
The Value of Interaction
Information Visualization: Advanced Techniques at Coursera Admission Process
Important Dates
Other courses offered by Coursera
Student Forum
Anything you would want to ask experts?