Information Visualization: Advanced Techniques

( 7 Reviews )

Created by: Enrico Bertini

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Overall Score : 100 / 100

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Course Description

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 GoalsGoal: 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- TextThis 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).

Time: 22h

Instructor Details

Enrico Bertini

5.0 Rating
7 Reviews

Enrico Bertini is Associate Professors in the Computer Science and Engineering department at NYU Tandon School of Engineering. He has taught courses on visualization and visual analytics for more than 10 years in public and private institutions across Europe and the United States. Prof. Bertini's research focuses on the development and evaluation of advanced visual interfaces for Data Science. He has numerous publications top visualization conferences and journals and he is the recipient of several awards for his research. He is also the co-host of Data Stories, a popular podcast on data and data visualization.

Reviews

5.0

7 total reviews

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By vignaux on 15-Nov-18

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

By Nabil A on 11-Jun-19

Last course on the Specialization. It cover advanced graphics and visualizations, such as visualizing geographical data, temporal data, network data and interactive visualizations with multiple views. What I liked the most is the vast quantity of examples reviewed and the assignments which consisted of producing your very own low fidelity sketches of the topics given in each week.I would totally recomend to anyone who wants to dive deep in data visualization techniques and expand visual vocabulary.

By Priyansh B on 6-Jul-19

I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand

By Balakumar K S on 26-Sep-19