The course introduces topics of Data Science. The different phases included in a common pipeline of Data Science will be discussed: broadly speaking, data collection, data analysis and visualization.
Gain famigliarity with a pipeline do Data Science. Deepen the theoretical and practical knowledge of the different phases, to discuss properties and objectives. Develop a full Data Science pipeline in the project, to face real worl challenges.
The course presents basic tools of a typical pipeline od Data Science: from the data collection, to the analysis for knowledge extraction, to the visualization of data and results to both experts and non-experts users.
Final objective of the course will be gaining theoretical and practical familiarity with a Data Science pipeline and its different phases. The final project will be occasion to exploit this knowledge in a full pipeline developed by the student.
Programming skills
Basics of calculus, linear algebra, statistics and probability
Theoretical, frontal classes will be coupled with hands-on activities
The course will cover the following topics
Slides and hands-on material will be shared by the instructors.
Additional material will be occasionaly provided depending on the needs
Ricevimento: Please contact the instructor by email of preferably via Teams.
NICOLETTA NOCETI (President)
FRANCESCA ODONE
VITO PAOLO PASTORE (President Substitute)
In accordance with the teaching calendar approved by the Council of Study Programs in Computer Science and Computer Science.
The exam will include
The evaluation of both parts of the exam will include clarity in the presentation, quality of the proposed solutions and critical thinling.
