Statistics and Data Mining

The course Statistics and Data Mining aims to help students learn how to analyse mobility data in order to create and produce smart solutions for resilient sustainable mobility. The goal is for the students to understand and be able to use basic ideas of statistical inference and data mining in a variety of settings.

This course is part of the EUNICE Master’s Degree in IT for Smart and Sustainable Mobility

The content of the course consists of eight units:

1. Descriptive statistics
2. Foundations of statistical inference (univariate and multivariate analysis)
3. Dimensionality reduction (PCA)
4. Parametric and non-parametric tests
5. Resampling techniques (bootstrap)
6. Big principles of supervised / unsupervised methods
7. Main types of predictive techniques (regression and classification)
8. Main types of descriptive techniques (clustering, association rule learning)

Timetable:

24 hours of sel-study sessions

12 hours of livesessions on Friday mornings

• EUNICE Master’s Degree student: enrolled as a Master’s Degree student in one of the universities of EUNICE European University consortium (check its members here).
• B2 level of English.
• Having completed the EUNICE Machine Learning course.

Study Level: Master

• Submit your application via the button ‘Apply Now’.
• Please keep in mind that the number of participants could be limited for each course. Application does not guarantee enrolment in the course.
• The course participants will be selected based on criteria specified in the study guide.
• Your home university will inform you whether you have been accepted and provide further information about the next steps.

Specific instructions in some universities:

• BTU students: a Learning Agreement must be completed in advance in coordination with your departmental advisor. Please contact your examination office and study programme coordinator in good time once you are accepted for the courses you would like to attend. For any other questions you can contact: eunice@b-tu.de
• UPHF students: make sure to ask the approval of your director of studies (responsable pédagogique) before applying. For any question, you can contact the EUNICE office: eunice@uphf.fr
• UoP students: questions about enrolment and recognition can be answered by your Director of Studies or ECTS Coordinator, or you can contact eunice@go.uop.gr

Any questions about enrolment or credit recognition? Contact your EUNICE course coordinator.