Quantitative sociology

Lectures

1. Introduction


• Readings:
• Salganik, Matthew (2018). Bit by bit : social research in the digital age. Princeton, New Jersey: Princeton University Press.
• Measuring the predictability of life outcomes with a scientific mass collaboration
• Slides


2. R basics 1


3. R basics 2


• Readings:
• Machine Learning for Social Science: An Agnostic Approach
• Machine Learning for Sociology
• Slides
• Code 1
4. Handling data


• Code


5. Handling data


6. Visualizing


• Code
• Exercises


7. Test


• Test 1


8. Project design


• Exercises


9. Web scraping 1


• Code
• CSS selectors


10. Web scraping 2


• Code 1
• Code 2


11. APIs 1


• Code


12. APIs 2


13. Workshop


• Code


14. Workshop


15. Final reports


• Final reports

Evaluation

• Final group report (100%)

Resources

• Wickham & Grolemund, “R for Data Science: Import, Tidy, Transform, Visualize, and Model Data”; O'Reilly Media, 2017.(link)
• Useful links
• Documentary Coded Bias