Исследовательский анализ данных

2026/2027

Статус: Маго-лего

Кто читает: Международная лаборатория прикладного сетевого анализа

Где читается: Факультет социальных наук

Охват аудитории: для своего кампуса

Преподаватели: Мешков Михаил Алексеевич

Язык: русский

Кредиты: 3

Контактные часы: 28

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Аннотация

This course is dedicated to numerical and graphical techniques for summarizing and displaying data. Special attention is paid to exploration versus confirmation. Connections with conventional statistical analysis and data mining are explored with implications for social sciences. Special attention is paid to applications to large data sets.

Цель освоения дисциплины

The course aims to equip students with the skills to systematically explore, visualise, and interpret complex datasets, uncover patterns, anomalies, and relationships, and formulate data‑driven hypotheses for further statistical modeling.

Планируемые результаты обучения

Have the skill to work with statistical software, required to analyze the data.
Be able to develop and/or foster critical reviewing skills of published empirical research using applied statistical methods.
Be able to explore the advantages and disadvantages of various approaches to exploratory analysis, and demonstrate how they relate to other methods of analysis.
Be able to work with major data analysis programs, especially R, so that they can use them and interpret their output.
Have an understanding of the basic principles of exploratory analysis and lay the foundation for future learning in the area.
Have the skill to meaningfully develop an appropriate model for the research question.
Know modern extensions to data exploration, including working with “problem data”.
Know the basic principles behind working with all types of data for building all types of models
Know the theoretical foundation of working with data.
Be able to criticize constructively and determine existing issues with applied linear models in published work .