Data Analysis for Decision Making

2024/2025

Учебный год

ENG

Обучение ведется на английском языке

3

Кредиты

Кто читает:

Департамент политологии и международных отношений

Статус:

Курс по выбору

Когда читается:

1-й курс, 3 модуль

Преподаватель

Горгадзе Алексей Алексеевич

Course Syllabus

Abstract

The course aims to provide students with practical tools and techniques for data analysis to support decision-making, with a focus on applications in social sciences and comparative politics. Over five weeks, students will gain skills in statistical analysis, visualization, and predictive modeling using R. The course combines theoretical knowledge and hands-on practice to enable students to analyze datasets and derive actionable insights.

Learning Objectives

• • To introduce students to foundational concepts and tools for data analysis.
• • To develop skills in statistical testing, visualization, and network analysis.
• • To equip students to apply data analysis techniques to real-world political and organizational datasets.

Expected Learning Outcomes

• Understands the basics of statistical and network analysis
• Applies R for data preprocessing, visualization, and modeling
• Analyzes and interprets results for decision-making
• Creates visualizations and dashboards to communicate findings effectively

Course Contents

• Introduction to Data Analysis
• Statistical Analysis for Decision Making
• Text Mining and Analysis
• Social Network Analysis
• Presentations

Assessment Elements

• Class Participation
  Active involvement in seminars and discussions. Contributes relevant insights and asks questions.
• Presentation
  Description: Each group will present a scientific article provided by the instructor. The presentation should summarize the article’s key points, explain its relevance to the course topics, and discuss potential applications.
• Final Project
  Description: A comprehensive project combining a presentation (50%) and a written report (50%). Students will analyze a real-world dataset, applying techniques from the course
• Final Project Review
  Description: Students will provide a critical review of a peer group’s final project. This assessment evaluates their ability to critically assess methodology, findings, and presentation.
• Final Test
  Final test conducted in SmartLMS or another web platform in a fixed time period. The tests consist of multiple choice questions based on the materials of the seminars.

Interim Assessment

• 2024/2025 3rd module
  0.2 * Class Participation + 0.2 * Final Project + 0.1 * Final Project Review + 0.3 * Final Test + 0.2 * Presentation

Bibliography

Recommended Core Bibliography

• Rule, A., Cointet, J.-P., Bearman, P. S., ISSN: 0027-8424 ; EISSN: 1091-6490 ; Proceedings of the National Academy of Sciences of the United States of America ; https://hal.inrae.fr/hal-02636957 ; Proceedings of the National Academy of Sciences of the United States of America, National Academy of Sciences, 2015, & 112 (35). (2015). Lexical shifts, substantive changes, and continuity in State of the Union discourse, 1790-2014. ISSN: 0027-8424. https://doi.org/10.1073/pnas.1512221112

Recommended Additional Bibliography

• Robert I. Kabacoff. (2015). R in Action : Data Analysis and Graphics with R: Vol. Second edition. Manning.