October 2024
5 Weeks
Intro to
Scrapping
and Parsing
of the Websites
Intensive course
Персональная обратная связь от преподавателя
Бессрочный доступ к методическим материалам
Авторская методика аналитического чтения
What Will the Course Give You?
The course focuses on data collection strategies on the Internet through scrapping and parsing. The online revolution in information exchange, social network revolution, and digitization of many spheres of people’s lives created almost unlimited pools of information and data available for collection and analysis. Data analysts, market research specialists, academic researchers and students, journalists, and investigators got access to a wide variety of opportunities to answer their questions through the analysis of publicly available data. The only issue is to collect relevant information in the most efficient way, turn it into data, and prepare it for analysis.
1
Basic knowledge of statistics
2
Basic knowledge of R and RStudio (tidyverse library, basic R functions)
3
Basic skills in scrapping and parsing techniques to further deepen your knowledge
4
Examples of code to apply in your own data analysis projects
1
Basic knowledge of Python (type of objects, functions, http requests, data transformation with pandas)
2
Basic skills in scrapping and parsing techniques to further deepen your knowledge
3
Examples of code to apply in your own data collection projects
4
Examples of code to apply in your own data analysis projects
Concept
The course is aimed at mastering basic professional skills by social and political science students. The course focuses on the logic and development of an empirical research program, the organization of research process, and the preparation and presentation of scientific texts of various academic genres. It is planned to conduct seminars and workshops at which students discuss course topics based on the material of their research projects, and also analyze the experience of conducting certain research projects by other scholars.
Course participants will submit short written responses on the course-related tasks, book reviews (about 1000-1500 words) and finally, drafting of research proposals related to their master’s or other projects.
Who For?
Program
Course Instructor
Research Fellow at YCIE,
Doctoral Researcher at the University Of Helsinki
Iurii taught courses on foreign policy analysis, EU foreign policy, political regimes, post-Soviet studies, political sociology, and comparative political science at the European University in St. Petersburg, RANEPA, HSE St. Petersburg. Currently, he studies the foreign policy of the European Union.
Academic interests relate to European studies, foreign policy analysis, EU foreign policy, and the dynamics of political regimes in the post-Soviet space, as well as public policy analysis, scraping, parsing, and quantitative analysis of data.
Candidate of Economic Sciences,
Senior Researcher at the Department Of Economics of the European University at St. Petersburg
Research Fellow at Center for Econometrics and Business Analytics, SPSU
Iurii taught courses on foreign policy analysis, EU foreign policy, political regimes, post-Soviet studies, political sociology, and comparative political science at the European University in St. Petersburg, RANEPA, HSE St. Petersburg. Currently, he studies the foreign policy of the European Union.
Iurii Agafonov
Mikhail Sokolov
Feedback of Participants
