Training Course in Statistics and Multivariate Analysis in R: applications in multicomponent systems

General Objectives of the Course

It is intended that students acquire expertise in the use of computational tools for statistical and multivariate data analysis, in a comprehensive and current perspective of methods implemented in the R environment, developing a self-critical analysis and interpretation of the results from specific and pratical examples.

Admission Requirements

It is recommended that students have (or attend) a higher education course, or have relevant work experience within the scope of this training. It is required that students have some basic training in mathematics, informatics and data mining.

Candidates should check the admission requirements available on this site, in addition to the information provided here.

Mode of Study


Teaching / Evaluation language(s)

Portuguese / English

Examination Regulations, Assessment and Grading

Sufficient, Good, Very Good and Excellent

Learning Objectives and Intended Skills

Skills in multivariate data analysis; expertise in the use of a computer application for study and interpretation of multidimensional systems; skills of self-learning, recognition of the importance of the information characterization and rationalization. Select methods of statistical and multivariate analysis more appropriate to the test systems. Analyze, interpret, organize and report the results obtained, using the Rstudio.

Qualification Requirements and Regulations

Regulation n.º 339/2012, published in Official Gazette no. 152, 2. Grade, August 7th (Regulation of Creation and Operation of non-degree courses at the UC).

Study Programme

Statistics and Multivariate Analysis in R: applications in multicomponent systems

Academic year

Course Type
Non Degree Course

Qualification Awarded: Diploma/Certificate

Duration: 94 HORAS

ECTS Credits: 3.5


Call for Applications