Training Course in Statistics and Multivariate Analysis in R: applications in multicomponent systems
General Objectives of the CourseIt 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.
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 Studye-learning
Teaching / Evaluation language(s)Portuguese / English
Examination Regulations, Assessment and GradingSufficient, Good, Very Good and Excellent
Learning Objectives and Intended SkillsSkills 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 RegulationsRegulation 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).
Non Degree Course
Qualification Awarded: Diploma/Certificate
Duration: 94 HORAS
ECTS Credits: 3.5