Statistical Literacy: Understanding Econometric Methods in Peer-Reviewed Research

Course Description: This course is designed to provide learners with a comprehensive understanding of econometric methods commonly employed in peer-reviewed research. By bridging statistical theory and practical application, participants will explore essential concepts such as regression analysis, causal inference, model selection, and hypothesis testing. The course emphasizes critical evaluation of research methodologies and equips learners to interpret and assess econometric results effectively. Whether you aim to enhance your ability to critique academic studies or apply econometric techniques in your own work, this course will provide the tools and confidence you need.

Target Audience:

• Graduate students and early-career researchers in social sciences, business, economics, humanities, education, and other related fields
• Professionals seeking to enhance their analytical skills for academic or industry research
• Anyone with a basic understanding of statistics who wishes to deepen their knowledge of econometric methods

Duration: 8-10 weeks (with an estimated workload of 6-8 hours per week, including lectures, readings, assignments, and project work) 

Mode of study: Online or Hybrid (in English)