Study Program [en:field:field_op:course:label]
SocEng [en:field:field_op:#allowed_values:Sociology]
Year of Study Plan [en:field:field_year_plan:course:label]
2021
Lector [en:field:field_lector:course:label]
Semester [en:field:field_semester:course:label]
4 [en:field:field_semester:#allowed_values:4]
Working Program in Ukrainian [en:field:field_abstract:course:label]
Working Program in English [en:field:field_programengl:course:label]
Додаткові матеріали [en:field:field_material_text:course:label]
code [en:field:field_corse_code:course:label]
EC2.06
degree_level [en:field:field_degree_level:course:label]
master [en:field:field_degree_level:#allowed_values:магістр]
Program of Study [en:field:field_program_of_study:course:label]
Sociology (language of instruction - English) [en:field:field_program_of_study:#allowed_values:Соціологія (мова навчання англійська) / Sociology]
Course developed in [en:field:field_course_developed_in:course:label]
2021
ECTS credits [en:field:field_ects_credits:course:label]
5.00
Course type [en:field:field_course_type:course:label]
elective [en:field:field_course_type:#allowed_values:elective]
Final control [en:field:field_final_control:course:label]
Exam [en:field:field_final_control:#allowed_values:Exam]
Course summary [en:field:field_course_summary:course:label]
Time-series, or longitudinal, data are arranged in terms of time information about objects (individuals, social groups, territorial units, or organizations). Due to the increasing possibilities for data collection by means of contemporary information technologies, such data are becoming more and more accessible to researchers. However, the methods of handling and analysis of time series differ from the traditional datasets with which sociologists work due to their specificity, in particular deviations from the presumption of independence of observations and measurability of the steps between observations. The course "Quantitative analysis of time-series data" is intended to master the methods of creating, processing, and analyzing such data in the R environment, as well as constructing models and forecasting processes.
Language of instruction [en:field:field_language_of_instruction:course:label]
English
