Quantitative Data Analysis II
Course code
RAS6236.YK
old course code
RAS6236
Course title in Estonian
Kvantitatiivne andmeanalüüs II
Course title in English
Quantitative Data Analysis II
ECTS credits
4.0
Assessment form
Examination
lecturer of 2023/2024 Spring semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
lecturer of 2024/2025 Autumn semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
Course aims
To create opportunities for the development of the basic theoretical knowledge and applications on inferential statistics. To create preconditions for the development of skills to independently choose appropriate methods of analysis, to present the results and to interpret the findings.
Brief description of the course
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Learning outcomes in the course
Upon completing the course the student:
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Teacher
Dotsent Kadri Täht, lektor Eve-Liis Roosmaa
Prerequisite course 1
The course is a prerequisite
Data Analysis: Factor, Cluster, Event History and Multilevel Analysis (RAS6242.YK)
Data Analysis: Factor, Cluster, Event History and Multilevel Analysis (RAS7242.YK)
Data Analysis: Longitudinal Data, Linear and Logistic Regression (RAS7241.YK)
Data Analysis: Longitudinal Data, Linear and Logistic Regression (RAS6241.YK)
Practical Use of Statistical Data Analysis Methods in Research II (RAS8332.YK)
Research Seminar-Practice (RAS6305.YK)
Data Analysis: Factor, Cluster, Event History and Multilevel Analysis (RAS7242.YK)
Data Analysis: Longitudinal Data, Linear and Logistic Regression (RAS7241.YK)
Data Analysis: Longitudinal Data, Linear and Logistic Regression (RAS6241.YK)
Practical Use of Statistical Data Analysis Methods in Research II (RAS8332.YK)
Research Seminar-Practice (RAS6305.YK)
Study programmes containing that course