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Research Data Processing (SL_010)

About Study Course

Department: Statistics Unit
ECTS:3
Course supervisor:Vinita Cauce
Study type:Full time
Course level:Bachelor
Target audience:Public Health
Language:Latvian
Study course description Full description, Full time
Branch of science:Mathematics; Theory of probability and mathematical statistics

Objective

Deepen knowledge and strengthen skills in mathematical data processing methods in the IBM SPSS program for the purposes of developing a bachelor's thesis and work in the public health specialty.

Prerequisites

Courses Mathematichal Statistics I and II should be successfully acquired before.

Learning outcomes

Knowledge

1.Upon successful acquisition of the course, the students will be able to use Excel and IBM SPSS, Word for data processing, analysis, visualisation and formatting.

Skills

1.Upon successful acquisition of the course, the students will be able to:
* perform data verification and prepare data for analysis;
* filter data accordingly to different criteria;
* transform files in IBM SPSS;
* construct and edit tables and graphics in IBM SPSS and MS Excel;
* correctly report data processing methods in MS Word;
* write down activities in IBM SPSS syntax.

Competence

1.Upon successful acquisition of the course, the students will be able to use Excel and IBM SPSS, Word for data processing, analysis, visualisation and formatting.

Study course planning

Planning period:Year 2025, Spring semester
Study programmeStudy semesterProgram levelStudy course categoryLecturersSchedule
Public Health8BachelorLimited choiceVinita Cauce
About Study CourseObjectivePrerequisitesLearning outcomesStudy course planning
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