Collect, Visualize, Analyze: Intro to Quantitative Research

Speaker:

Iurii Agafonov
Mikhail Sokolov

Language:

English/ Russian

Date/Time:

November 28, 29, 30

Location:

Charents 31/4

Collect, Visualize, Analyze: Intro to Quantitative Research

Speaker:

Iurii Agafonov
Mikhail Sokolov

Language:

English/ Russian

Date/Time:

November 28, 29, 30

Location:

Charents 31/4

We are happy to launch a 3-day introductory workshop on parsing, visualization, and data analysis. You will learn how to gather data from open sources, transform, summarize, and analyze using Python and R. We will also discuss several examples and problems from mathematical statistics and probability theory.

Participation in the workshop is free of charge, but prior registration is required. You can do that following the upper left button “Apply for the Course”.

LECTURERS

Iurii Agafonov
Researcher at the Center for Institutional Analysis of Science & Education, European University at St. Petersburg.
Doctoral Researcher at the University of Helsinki

Mikhail Sokolov
Associate professor, Senior researcher at the Department of Economics, European University at St.
Petersburg (EUSP). Researcher at the Center for Econometrics and Business Analytics. St. Petersburg State University.

PROGRAM

DAY 1.

Data gathering and programming

  • Data gathering – online revolution. Scrapping, parsing
  • Structure of a website
  • Parsing of a static website with Python

WHAT WILL WE DO?

  • Get acquainted with the role of programming in data gathering;
  • Start working in Python and get acquainted with the main elements of the language and the logic of code writing;
  • Write a simple static site parser.

Lecturer: Iurii Agafonov

Language: English

DAY 2.

Mathematical statistics: examples and problems

  • Basic probability and statistics questions
  • Examples of real-world applications of probability theory
  • Examples of real-world applications of mathematical statistics

DURING THE SESSION YOU WILL LEARN:

  • Which countries should launch/stop COVID-19 express testing;
  • An algorithm for deciding who to marry;
  • How many fish does the a lake have;
  • How statistics helped to estimate the extent of German production during the course of the Second World War;
  • Was there any trade between Armenia and Great Britain in the XVII century;
  • An algorithm to find a sunken ship;
  • Whether Mikhail A. Sholokhov (a Russian novelist, the winner of the 1965 Nobel Prize in Literature) is the author of the novel “And Quite Flows the Don”.

Lecturer: Mikhail Sokolov

Language: Russian

DAY 3.

Transformation and visualization of data in R

  • Types of data and objects in R
  • Data transformation with dplyr package
  • Data visualization with ggplot2 package

WHAT WILL WE DO?

  • Start working in R and get acquainted with the main elements of the programming language and the logic of code writing;
  • Get acquainted with the main methods of data transformation;
  • Get acquainted with the basics of visualization, the relationship between graph types and types of data;
  • Visualize the data collected during the first session.

Lecturer: Iurii Agafonov

Language: English

WHAT YOU WILL NEED FOR THE WORKSHOP?
Sessions on the first and third days will be practice-oriented, therefore for a better learning experience please come with a laptop. You don’t need to install any program in your laptop prior to the sessions, but having a google account would be an advantage. You will not need a laptop during the second day.

WHERE? WHEN?

Sessions will take place at Charents 31/4 on November 28, 29, 30 at 19:00.