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Information Visualization: Advanced Techniques

New York University (NYU) via Coursera

1 Review 118 students interested
  • Provider Coursera
  • Cost Free Online Course (Audit)
  • Session In progress
  • Language English
  • Certificate Paid Certificate Available
  • Start Date
  • Duration 4 weeks long
  • Learn more about MOOCs

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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).


Visualizing Geographical Data

Visualizing Network Data

Visualizing Temporal Data

Interaction and Multiple Views

Taught by

Enrico Bertini and Cristian Felix

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Review for Coursera's Information Visualization: Advanced Techniques
5.0 Based on 1 reviews

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Ronny W
5.0 9 months ago
by Ronny completed this course, spending 6 hours a week on it and found the course difficulty to be medium.
This is the last course of the excellent Information Visualization Specialisation.

The four weeks of this course cover advanced techniques on a specific topic every week: visualizing geographical data, visualizing network data, visualizing temporal data, and interaction with multiple views.

It continues at the same level of scientific and structured approach with the right balance of practical examples, just as in the earlier courses.

Contrary to the previous courses in this series you have peer-reviewed assignments every week instead of only once. These…
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