Data Engineering for Economics

This course provides a comprehensive toolbox to conduct data analysis and causal inference for students and researchers in economics and other social sciences. The course proposes a data engineering framework to guide reproductive data analysis. This course introduces the best tool in each stage of the data pipeline, including R, Python, MySQL, and git. A central theme of the course is that to achieve effective and reliable empirical research, scholars should follow transparent and reproductive guidelines.