Анализ данных

2026/2027

ID 1123310

Статус: Маго-лего

Кто читает: Департамент социологии

Где читается: Санкт-Петербургская школа социальных наук

Охват аудитории: для всех кампусов НИУ ВШЭ

Преподаватели: Зубарев Никита Сергеевич

Язык: русский

Кредиты: 3

Контактные часы: 24

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Аннотация

The course will discuss methods of data preparation and analysis. Students will become familiar with the principles of critical data analysis, focused on the study of cultural, ethical and socio-technical issues at the intersection of social sciences, computer science and society. The course is aimed at developing students' critical approach to topics such as big data, data ethics, privacy, algorithms for solving social problems using data systems.

Цель освоения дисциплины

Be able to perform statistical analysis of data, as well as solve research and practical problems using various modeling techniques.

Планируемые результаты обучения

Ability to identify the appropriate data analysis paradigm for a specific study, navigate modern approaches to data analysis, formulate research hypotheses and research objectives, and select appropriate data analysis methods
Ability to interpret the results of applying linear regression, use linear regression in relevant problems, perform modeling in cases of violation of the assumptions of OLS using GLS and recalculation of standard errors of coefficients.
Can visualize data and interpret plots, look for patterns in data using visualization, and work with missing values
Be able to apply classical machine learning methods to solve classification and regression problems
The student is familiar with basic text processing methods and tokenization techniques. They are able to work with language models and integrate them into their tasks.