Analysis of Data (Bologna) STATS4065
- Academic Session: 2026-27
- School: School of Mathematics and Statistics
- Credits: 8
- Level: Level 4 (SCQF level 10)
- Typically Offered: Semester 1
- Available to Visiting Students: No
- Collaborative Online International Learning: No
- Curriculum For Life: No
Short Description
The course gives students further experience of analyzing data in a wide variety of contexts, using the R computer package.
Timetable
Timetable information is available from the University of Bologna.
http://corsi.unibo.it/1Cycle/StatisticalSciences/Pages/course-timetable.aspx?CodiceCorso=8873&Indirizzo=A32&AnnoCorso=2
Requirements of Entry
This course is only available to students on the Double Degree programme in Statistics with the University of Bologna.
Excluded Courses
Statistics 3A: Data Analysis [STATS3011]
Data Analysis [STATS4052]
Data Analysis (Level M) [STATS5018]
Co-requisites
-/-
Assessment
End-of-course practical test in computer lab, carried out in accordance with the assessment procedures and regulations of the University of Bologna.
Course Aims
This course aims
■ to provide students with experience in implementing statistical models (including linear models) using R, in a wide variety of contexts;
■ to develop expertise in developing appropriate modelling strategies and interpreting the results; and
■ to develop written communication skills.
Intended Learning Outcomes of Course
By the end of this course students will be able to:
■ implement simple statistical techniques, such as the normal linear model, in R;
■ interpret the results from statistical procedures and draw appropriate conclusions;
■ develop and implement an appropriate modeling approach to answer questions of interest about a given data set;
■ critically assess the quality of a statistical analysis conducted by someone else; and
■ write up the results of a statistical analysis concisely in the form of a report.