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About Study Course

Department: Statistics Unit
ECTS:3
Course supervisor:Māris Munkevics
Study type:Full time
Course level:All levels
Target audience:Dentistry; Medicine; Pharmacy; Public Health
Language:Latvian
Study course description Full description, Full time
Branch of science:Mathematics; Theory of probability and mathematical statistics

Objective

To introduce students with open access data analysis tool R and get acquainted with the possibilities in solving data analysis violations. The most commonly used data analysis methods have strong prerequisites that often are violated due to lack of expertise in addressing them. It is planned to introduce students with tools and methods to reduce data analysis violations.

Prerequisites

Basic knowledge in data analysis. Acquired, for example, in course SL_001 "Biostatistics" or its equivalents.

Learning outcomes

Knowledge

1.Students will receive knowledge in programming in open access data analysis software and options in dealing with most common violations during data anlysis.

Skills

1.Students will be practically dealing with most common violations during data anlysis.

Competence

1.Frequently used data analysis methods have strong prerequisites that are often violated. The course participants will have the competence to address these violations analytically.