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About Study Course

Department: Statistics Unit
Credit points / ECTS:2 / 3
Course supervisor:Vinita Cauce
Study type:Full time
Course level:Bachelor
Target audience:Public Health
Language:Latvian
Branch of science:Mathematics; Theory of Probability and Mathematical Statistics

Objective

Enhance knowledge and practical skills about data analyse basic methods in SPSS, strengthen those skills with programmes like Epilinfo, etc.

Prerequisites

Course Mathematichal Statistics I should be taken before.

Learning outcomes

Knowledge

Upon successful acquisition of the course, the students will know:
* about statistical calculations in different programmes;
* about correlation and regression analysis.

Skills

Upon successful acquisition of the course, the students will be able to:
* do hypothesis testing with one or multiple samples;
* interpret quantitative variable correlation;
* calculate descriptive statistics estimators; make graphs un do hypothesis testing in MS Excel, SPSS, EpiInfo programmes, and use online statistical calculators;
* interpret data processing results accordingly to their speciality.

Competence

As a result of successful training, students will be able to make practical use of computer programs and calculators in the study process and in the professional sphere for data processing.

Study course planning

Planning period:Year 2024, Autumn semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Public Health, SVF5Bachelor’sRequiredVinita Cauce