Анализ данных для принятия решений

2026/2027

ID 1236102

Статус: Маго-лего

Кто читает: Департамент социологии

Где читается: Санкт-Петербургская школа социальных наук

Охват аудитории: для всех кампусов НИУ ВШЭ

Преподаватели: Ткач Сергей

Язык: русский

Кредиты: 6

Контактные часы: 40

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Аннотация

The course aims to build competencies in effective data analysis for informed decision making in social enterprise. Students will learn fundamental principles of data analytics, statistical methods, visualization tools and modern approaches to data analysis in the context of social enterprises. Emphasis is placed on the practical application of analytical techniques to measure social impact, evaluate program effectiveness, and to make strategic decisions. The course combines theoretical foundations with practical data skills, including collecting, processing, analyzing, and interpreting data to solve social entrepreneurship problems. Students will master advanced data analysis tools, learn how to create informative visualizations, and develop skills in the ethical use of data in social entrepreneurship.

Цель освоения дисциплины

To develop students' understanding of the role of data analysis in decision-making in social entrepreneurship and the ability to apply statistical methods to solve practical problems.
To develop skills in data collection, processing and analysis using modern tools and technologies to assess social impact and program effectiveness.
To teach students how to create informative data visualizations and develop analytical dashboards to support decision making in social enterprises.
To develop critical thinking in the ethical use of data and an understanding of data protection principles in the context of working with vulnerable populations.

Планируемые результаты обучения

Able to apply modern techniques and methods of data collection, advanced methods of processing and analysis, including the use of intelligent information and analytical systems, when solving management and research problems.
Capable of making and implementing organizational and managerial decisions in the field of social entrepreneurship based on innovative approaches and using modern technologies .
Able to generalize and critically evaluate scientific research in management and related fields, and carry out research projects.
Able to apply current data analysis methods to assess socio - economic effects and risks in the implementation of projects in the field of social entrepreneurship.
Integrates analytical tools into the decision-making processes of social enterprises to improve their effectiveness and sustainability.

Содержание учебной дисциплины

Topic 1. to Data-Driven Decision Making
Topic 2. Sound decision-making policy
Topic 3. Operationalization of the decision-making model
Topic 4. Direct and indirect effects of the social environment
Topic 5. Presentations
Topic 6. Controlled influence on the model
Topic 7. Text data as a source for decision making
Topic 8. Multilevel models in decision making
Topic 9. Longitudinal studies
Topic 10. Presentations

Элементы контроля

Final Project Review: Writing a review
Students write a review of their colleagues' final project . This will assess their ability to critically reflect on the methodology, theoretical validity of the conclusions , and their practical significance.
Class Participation
Active involvement in seminars and discussions. Contributes relevant insights and asks questions.
Final Project
A comprehensive project combining a presentation (50%) and a written report (50%). Students will analyze a real-world dataset, applying techniques from the course.

Промежуточная аттестация

2026/2027 2nd module
0.4 * Final Project + 0.4 * Final Project Review: Writing a review + 0.2 * Class Participation

Список литературы

Авторы

Кузинер Евгения Николаевна

Программа дисциплины