Social Network Analysis

2024/2025

Учебный год

ENG

Обучение ведется на английском языке

3

Кредиты

Кто читает:

Департамент менеджмента

Статус:

Курс обязательный

Когда читается:

2-й курс, 1 модуль

Преподаватель

Антипов Евгений Александрович

Course Syllabus

Abstract

The course finalizes the customer analytics track by teaching students essential skills that are especially useful for the analysis of various social networks (e.g. networks of social media users, buyers, etc.): automated data collection from various sources (including the Web), analysis of network data and text mining. The course has two parts: in the online part students will be given access to 4 courses at the DataCamp platform which will serve as lectures and practical tutorials on how to collect and manipulate data from various sources with a special emphasis on scraping web data and using APIs. Academic support for the course is provided via LMS, where students can find guidelines and recommendations for self-study and sample questions for exam preparation. The exam is also conducted using LMS testing functionality. DataCamp platform is used in this course so that students can improve their R coding skills. DataCamp is an interactive learning platform for R, Python & SQL for Data Science. They teach cutting edge data analysis tools in an easily accessible manner.  For every topic an introductory tutorial-style lecture is given to familiarize students with the topic  A set of case studies every week is solved in class  90% of time is allocated to practicing R programming skills