TLÜ ÕIS

Quantitative Data Analysis I

Course code

RAS6030.YK

old course code

Course title in Estonian

Kvantitatiivne andmeanalüüs I

Course title in English

Quantitative Data Analysis I

ECTS credits

6.0

Assessment form

Examination

lecturer of 2026/2027 Autumn semester

Eve-Liis Roosmaa (language of instruction:Estonian)

lecturer of 2026/2027 Spring semester

Not opened for teaching. Click the study programme link below to see the nominal division schedule.

Course aims

Create opportunities to acquire basic knowledge and skills for quantitative analysis in social sciences by applying descriptive and inferential statistics analysis. Support student readiness for independent application of the basic skills of quantitative data analysis in social scientific studies.

Brief description of the course

The course covers the following topics: sampling and measurement, descriptive statistics, probability distributions, statistical inference and estimation, statistical testing, measures of association, linear regression, and an introduction to multivariate association models.
The course consists of lectures, seminars and practicums, where students are expected to actively participate and contribute. During the course, students have to work through the literature and assignments given by the lecturer, solve practical data analysis tasks in the practicum and do homework independently. The data processing package R and RStudio are used for data analysis, the basic skills of using which are acquired during the course.

Learning outcomes in the course

Upon completing the course the student:
- has basic theoretical knowledge of descriptive and inferential statistics and their use in social science studies;
- has practical skills for conducting primary descriptive and inferential quantitative data analysis, presenting and interpreting results;
- can independently choose a suitable analysis method for analysis within the scope of topics and methods covered in the course;
- able to use R data processing package independently at basic level.

Teacher

Kadri Täht

The course is a prerequisite

Quantitative Data Analysis II (RAS6031.YK)

Study programmes containing that course