The course is aimed at introducing students to digital data processing, by taking into account all the main
aspects, as creation, trackability, recovery, storage, analysis and visualization. After presenting the different
types of existing digital data and some examples on how to analyze them, the course will address the topic
of Web Analytics, starting from HTML and http protocol notions and following with the use of digital service
as Google analytics and Tag Manager. Then, Python library Pandas will be introduced through concrete use
cases. Finally, some data visualization techniques will be presented.
At the end of the course students:
- have a clear overview of digital data world;
- are capable of using Google Analytics and Tag Manager at a basic level;
- develop skills on Pandas library.
The expected knowledge objectives are the:
1. knowledge of the theoretical contents of the course (Dublin descriptor n°1);
2. competence in presenting technical argumentation skills (Dublin descriptor n°2);
3. autonomy of judgment (Dublin descriptor n°3) in proposing the most appropriate approach to
argue the request;
4. ability to express the answers to the questions proposed by the Commission with language
properties, to support a dialectical relationship during discussion and to demonstrate logical-
deductive and summary abilities in the exposition (Dublin descriptor n°4).