OVERVIEW

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.

AIMS AND CONTENT

LEARNING OUTCOMES

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.

AIMS AND LEARNING OUTCOMES

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.

PREREQUISITES

Programming skills

Basics of calculus, linear algebra, statistics and probability

TEACHING METHODS

Theoretical, frontal classes will be coupled with hands-on activities

SYLLABUS/CONTENT

The course will cover the following topics

• An introduction to Data Science
• Data types
• Data preparation
• Data exploration
• Data visualization
• OLAP
• Statistical tests
• Predictive models

RECOMMENDED READING/BIBLIOGRAPHY

Slides and hands-on material will be shared by the instructors.

Additional material will be occasionaly provided depending on the needs

TEACHERS AND EXAM BOARD

Exam Board

NICOLETTA NOCETI (President)

FRANCESCA ODONE

VITO PAOLO PASTORE (President Substitute)

LESSONS

LESSONS START

In accordance with the teaching calendar approved by the Council of Study Programs in Computer Science and Computer Science.

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

The exam will include

• a project, for which the student will have to develop a notebook and prepare slides/pdf for a short oral presentation or a written report
• a written exam including theoretical and pratical exercises

ASSESSMENT METHODS

The evaluation of both parts of the exam will include clarity in the presentation, quality of the proposed solutions and critical thinling.

Exam schedule