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Обычная версия сайта
2025/2026

Введение в методы сбора и анализа больших данных

Статус: Маго-лего
Охват аудитории: для своего кампуса
Язык: русский
Контактные часы: 36

Программа дисциплины

Аннотация

The growth of Internet penetration and the possibility of collecting and analyzing big data have produced new challenges and have offered new opportunities for researchers and official statistics. Within several years nonreactive and big data has become the main trend in the social sciences. Nonreactive methods include nonparticipant observation and analysis of digital fingerprints such as likes or shares, as well as private documents such as blogs, social media profiles and comments, or public online documents such as mass media materials. This course will give an introduction to key quantitative approaches to the collection of nonreactive data in social sciences. The course is taught in the form of lectures, seminars, and individual work using R studio. All teaching is conducted in English. The goal of the course is to introduce the opportunities of nonreactive and big data for social scientists and learn basic methods and tools to collect nonreactive data. Within the course some R studio packages will be used for data analysis. Basic knowledge of quantitative sociological methods is required. Familiarity with R studio is very helpful but not required. To run R studio, install it or use cloud version (freely available at: https://www.rstudio.com/products/rstudio/download/).