INFORMATION VISUALIZATION, DATA SCIENCE AND SOCIAL MEDIA ANALYTICS MOD.2

The course aims at developing a strong foundation on data visualization. Specifically, this course will focus on how to properly visualize data as well as knowledge beyond the usage of some tools for creating interactive visualization.

- Understanding what information visualization is and why use it
- How visualization works
- Knowledge of fundamental graphs and data transformation
- Mapping data into a visualisation
- Learn to make trustworthy and accessible visualizations
- Acquire knowledge beyond the usage of some tools for creating interactive visualisations

Basic computing knowledge
Basic knowledge of Python

Foundations of data visualization
Data abstraction
Task abstraction
Fundamental charts and data transformation
Designing a visualization
Evaluating a visualization
Tools for creating interactive visualisations
Examples and exercises

(This outline may be subject to change)

- Slides and additional material given during the classes
- Wilke, Claus O. Fundamentals of data visualization: a primer on making informative and compelling figures. O'Reilly Media, 2019. Accessible online at https://clauswilke.com/dataviz/
- Andy Kirk. Data Visualization: A Handbook for Data Driven Design. SAGE Publications, London, 2016.

There will be regular assignments. The final exam consists of the presentation and discussion of a project previously agreed with the instructor.Grading Criteria:

- Grades below 18: Failure to pass the exam, indicating insufficient knowledge and understanding of course topics.
- Grades in the 18-22 range: Sufficient knowledge and understanding of course topics with reference to the syllabus, along with a sufficient level of performance in in-class and at-home activities.
- Grades in the 23-25 range: Satisfactory knowledge and ability to understand course topics, along with a satisfactory level of performance in activities both in class and at home.
- Grades in the 27-30 range: Good or very good knowledge and understanding of course topics with reference to the syllabus, along with a good level of performance in activities both in class and at home.

Interactive frontal classes, work in group
Use of interactive tool for sharing data and snippets of code (e.g., Google Colaboratory)

English

Non-attending students have to contact the lecturer for the final exam project.

oral

This subject deals with topics related to the macro-area "Human capital, health, education" and contributes to the achievement of one or more goals of U. N. Agenda for Sustainable Development