Data Analysis I
Course code
IFI6006
old course code
IFI6006
Course title in Estonian
Andmeanalüüs I
Course title in English
Data Analysis I
ECTS credits
1.5
Assessment form
assessment
lecturer of 2024/2025 Autumn semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
lecturer of 2024/2025 Spring 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 caring 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
Statistical data and preparation for analysis. Different types of data. Descriptive statistics: frequency and summary tables, statistics and charts.
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.
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:
• Can create data-table with an appropriate structure
• Has got experience in setting up questions about data which lead to statistical analysis
• Understands statistical concepts introduced during the course, knows the prerequisites for their correct application and can interpret the results of the analysis correctly
• Can recognise different types of variables and choose appropriate statistical techniques accordingly
• Can use the SPSS software with the aid of the manual for simple data processing and analysis
• Can create data-table with an appropriate structure
• Has got experience in setting up questions about data which lead to statistical analysis
• Understands statistical concepts introduced during the course, knows the prerequisites for their correct application and can interpret the results of the analysis correctly
• Can recognise different types of variables and choose appropriate statistical techniques accordingly
• Can use the SPSS software with the aid of the manual for simple data processing and analysis
Teacher
lekt Kairi Osula, õp Taivo Tuuling
Prerequisite course 1
The course is a prerequisite