Course code

IFI6081.DT

old course code

IFI6081

Course title in Estonian

Andmeanalüüs I

Course title in English

Data Analysis I

ECTS credits

3.0

Assessment form

Examination

lecturer of 2023/2024 Spring semester

Kaja Mädamürk (language of instruction:Estonian)

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 acquiring theoretical knowledge and practical skills for processing statistical data and carrying out elementary data analysis with the aid of SPSS software.
* The course is also set up to support developing ones ability to chose appropriate methods for analysis and presentation, as well as to understand and interpret correctly the meaning of statistical results.

Brief description of the course

Brief description of the course:
Statistical data and preparation for analysis. Different types of data.
Descriptive statistics: frequency and summary tables, statistics and charts.
Population, sample.
Statistical inferences - parametric and nonparametric tests. Confidence intervals.
Relationships: measures of association and crosstables.
Reliability
APA design

Course consists of seminar type lectures and practical classes where students are expected to be actively involved. In addition every student must submit home assignment, where (s)he demonstrates the command of all statistical data analysis techniques presented in the course.

Learning outcomes in the course

Upon completing the course the student:
- has ability to create statistical data-tables with an appropriate structure;
- has experience in setting up questions about data which lead to statistical analysis;
- understands of main concepts of descriptive and inferential statistics, knowledge of prerequisites for their correct application and ability to interpret the results of the analysis correctly;
- has ability to recognise different types of variables and choose appropriate statistical techniques accordingly;
knowledge of main and the most important terminology of data analysis;
- has skills to structure the research while writing up and format the thesis according to the requirements;
- has skills to use the SPSS software with the aid of the manual for simple data processing and analysis;
- explains the difference between descriptive and inferential statistics.

Teacher

Kairi Osula

Additional information

Soovitav on omada eelteadmisi kontoritarkvara kasutamisest ja tabelarvutusest.

Study programmes containing that course

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