The course introduces basic notions and concepts pn Data Science. The different steps of a common pipeline of Data Science will be discussed: data collection, data analysis and visualization.
Learning about a data science pipeline by exploring its various stages from both a theoretical and practical perspective.
The course follows the main stages of a typical pipeline od Data Science: from the data collection, to the analysis for knowledge extraction, to the visualization of data and results for 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 steps. 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: By appointment.
LUCA CALATRONI (President)
According to the calendar approved by the Degree Program Board: https://corsi.unige.it/en/corsi/8759/studenti-orario
The exam will include
Guidelines for students with certified Specific Learning Disorders, disabilities, or other special educational needs are available at https://corsi.unige.it/en/corsi/8759/studenti-disabilita-dsa
The evaluation of both parts of the exam will include clarity in the presentation, quality of the proposed solutions and critical thinking.
For further information, please refer to the course’s AulaWeb module or contact the instructor.
