Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

New York University (NYU)

Information Visualization: Advanced Techniques

New York University (NYU) via Coursera


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


5.0 rating, based on 1 Class Central review

4.8 rating at Coursera based on 37 ratings

Start your review of Information Visualization: Advanced Techniques

  • 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…

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.