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Training Course Statistics With SPSS

Faculty of Medicine

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Academic year

2017-2018

Course Type

Non Degree Course

Qualification Awarded

Diploma/Certificate

Duration

27 HORAS

ECTS Credits

1.0

General Objectives of the Course
Provide the trainee with an integrated program that articulates the acquisition of fundamental statistical concepts with the execution of procedures in SPSS software, illustrated with real examples. In particular:
• identify statistical methods best tailored to specific problems in the biomedical field (comparisons between groups, association, correlation);
• select and use the SPSS Descriptive Statistics and Data Visualization commands;
• select and execute in SPSS some of the statistical tests most often used in biomedical data;
• interpret and critically analyze the results generated by SPSS.
Learning Objectives and Intended Skills
At the end of the course, trainees should be able to:
- Select and use the SPSS commands that allow performing Descriptive Statistics analysis and Data visualization;
- Select and execute SPSS Inferential Statistics methods;
- Interpret the outputs generated by SPSS for each of the statistical techniques;
- Choose the appropriate methods for new problems and novel data in the Biomedical area, using SPSS to perform the data treatment.
Mode of Study
Face-to-face
Admission Requirements

Candidates from undergraduate, master's or doctoral courses are preferred as well as other researchers whose academic, scientific or professional curriculum justifies the usefulness of this course to their training or activity.

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

Qualification Requirements and Regulations
Regulation No 339/2012 - Regulation of creation and functioning of non-degree courses at the University of Coimbra
Examination Regulations, Assessment and Grading
The assessment will be continuous, taking the participation of the trainee in the activities performed throughout the course into account. The final grade will be binary (approved/not approved).
Study Programme