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Single discipline educational activity
Course Sheet Academic Year of enrolment:
Professor and Collaborators:
Hours of classroom activity:
Prerequisites:
Knowledge of the basic concepts of statistics and of linear and logistic regression and clustering techniques are recommended for the correct understanding of the analysis processes that will be implemented. The aforementioned knowledge, which is the subject of the "Marketing statistics and metrics" course, will in any case be recalled and briefly discussed during the course.
Objectives Contents The course first introduces the basic concepts relating to data representation, query and analysis, then focusing on the practical tools and methodologies used in marketing, and in particular in digital marketing.
Extended Syllabus Data Analytics: Introduction to the concepts and representation of data
Web and Social Media
Data visualization and descriptive analytics
Data Analytics workflows
Recommended Bibliography The lecture slides, which will be made available on the University's e-learning portal, and the resources (articles, tutorials or parts of books) which will be indicated by the teacher during the course, constitute study material.
Methods of Provision Teaching Methods The course includes 54 hours of lessons.
The course includes a group project in which students will apply the tools introduced in the course.
Evaluation methods Verification of learning:
The final evaluation will be expressed out of thirty. The exam will consist in the evaluation of the group project and in a test.
