Provided by:
UNIPI, CNR
From:
M.Sc. in Data Science and BI
Sede:
Polo Fibonacci, University of Pisa
Lecturers:
Salvatore RINZIVILLO
Semester:
2
Hours:
48
Educational Goals:
The trained student will acquire knowledge and skills to design and implement an effective visual representation of data and models
Prerequisites:
Basic knowledge of programming languages for the web: Javascript, HTML, CSS
Programme:
Theory of Visualization
Taxonomy of different types of data visualization: hierarchies, relational data, temporal data, spatial data, unstructured data (text)
Visual Analytics Process
Strategies and best practices for Effective data visualization
Discussion of Case Studies
Technologies for visualization
Overview of development environments and visual libraries
Design of a visual analytics project
