This course will cover the basic concepts of data analysis and statistical computing, which are both increasingly used in the fields of social sciences and humanities. The course will focus on the practical application of quantitative reasoning, visualization, and data analysis.
The course will cover the following topics: basic descriptive measures, measures of association, sampling and sample size estimation, and simple linear regression. Labs and assignments will be based on real-world data and problems in a wide range of fields in social sciences and humanities, including psychology, sociology, education, and public health. The basics of R and R Markdown will also be covered in the course.