The course introduces basics of quantitative data analysis to students. Each class consists of lecture which introduces theoretical background and "mechanics" of a given concept or method and a workshop where students use this knowledge through practical tasks.
The classes in the beginning of the course introduce a software used for data analysis and graphics. Students will be familiarized with basic data formats, functions, and data manipulation techniques utilized later in the course. The course further introduces web scraping, data preparation, content analysis, and basic quantitative data analysis. The core of the course focuses on basic descriptive measures of central tendency, position, and variability as well as selected classification techniques such as cluster analysis or multidimensional scaling. The last part of the course presents linear correlation and chi-squared test as well as linear and multiple regression analysis.
Students will be able to apply quantitative data analysis reasoning, specify appropriate techniques and rigorously use them upon successful completion of the course. The emphasis will be put on practical use of this knowledge