Selected Topics in Data Science

2025/2026

Учебный год

ENG

Обучение ведется на английском языке

Кто читает:

Департамент политологии и международных отношений

Статус:

Курс по выбору

Когда читается:

1-й курс, 4 модуль

Course Syllabus

Abstract

During the course students will use Python and JupyterLab for Windows as a tool for data processing and statistical computations. Students are assumed to be familiar with high school math program, have basic computer literacy and some programming experience in R, Python or Julia, have courses of university level in statistics (e.g. Statistics 101), and be willing to work hard to learn the essentials of data science.

Learning Objectives

• The goal of this course is to acquaint students with data science methods and terminology, and to teach them how to implement these methods using Python programming language.

Expected Learning Outcomes

• understand key terminology from Data Science and its connection to Social Science research methodology
• choose data science algorithms appropriate to research questions
• use Python programming language for data analytics
• design and present explain extract, transform, load pipelines
• know key concepts, approaches, obstacles and limitations of applying Data Science tools to Social Science problems

Course Contents

• Topic 1: Intro to Data Science
• Topic 2: Summarization
• Topic 3: Prediction
• Topic 4: Inference
• Topic 5: Causality

Assessment Elements

• Тест 1
• Тест 2
• Домашнее задание
• Активность

Interim Assessment

• 2025/2026 4th module
  0.2 * Активность + 0.25 * Домашнее задание + 0.3 * Тест 1 + 0.25 * Тест 2

Bibliography

Recommended Core Bibliography

• Vanderplas, J.T. (2016). Python data science handbook: Essential tools for working with data. Sebastopol, CA: O’Reilly Media, Inc. https://proxylibrary.hse.ru:2119/login.aspx?direct=true&db=nlebk&AN=1425081.

Recommended Additional Bibliography

• 9781785284571 - Romano, Fabrizio - Learning Python - 2015 - Packt Publishing - http://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=1133614 - nlebk - 1133614

Authors

• SNARSKII IAROSLAV ALEKSANDROVICH