Causal Inference is a process of checking whether there is a cause-and-effect relationship between two events in a given situation. Causal Inference is widely applied in different fields, especially data analysis in social sciences, health and evaluating the effectiveness of projects and policies of organizations and businesses.

Application of Causal Inference in Policy and Project Evaluation:

• To know the cause, determine the right goal of the problem, the project
• To assess costs, barriers, and unintended impacts of policies and projects
• To develop policy interventions and projects that are reasonable and consistent with objectives

• Equipping knowledge according to the program standards of Princeton universities (USA): the framework of policy impact assessment, projects and the most popular research methods
• Equipping data analysis skills: statistical knowledge, skills in using R tools
• Practice with your own projects with guidance from the instructor
• Get a certificate of course completion