First course for incoming Harvard Government Department PhD students; also taken by graduate and undergraduate students in other departments, and students elsewhere through the Harvard Extension School as Stat E-200. Instructor: Gary King.
Overview
Syllabus
1. Overview.
2. Statistical Models.
3. Data Generation Processes.
4. Probability.
5. Theories of Inference.
6. Likelihood Inference.
7. Uncertainty Estimates.
8. Statistical Simulation.
9. Binary outcome models.
10. Interpreting and Presenting Statistical Results.
11. Discrete Outcome Models.
12. Model Evaluation.
13. Robust Standard Errors.
14. Research Design.
15. Model Dependence.
16. Matching Methods.
17. Multiple Equation Models.
18. Missing Data.
19. Anchoring Vignettes.
Taught by
Gary King
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Reviews
5.0 rating, based on 1 Class Central review
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"Great course, easy to follow, teaches useful data analysis for social science.The "Quantitative Social Science Methods" course from Harvard University, available online, is excellent for beginners. It teaches how to use numbers and data to understand social issues. The lessons are clear and easy to follow, with practical examples and exercises. The instructors are knowledgeable and supportive. It's a great course for anyone interested in learning how to analyze social data, even without a strong math background. Highly recommended for those looking to enhance their research skills in social sciences.
