API 201 - Quantitative Analysis and Empirical Methods Learning Course

[API 201 - Quantitative Analysis and Empirical Methods Learning Course] API 201 - Quantitative Analysis and Empirical Methods: API 201 introduces students to the foundational quantitative techniques used in public policy analysis. The course covers statistical methods, data collection, and data analysis, emphasizing their application to real-world policy issues. Topics include descriptive statistics, probability theory, hypothesis testing, regression analysis, and causal inference. Students will learn to interpret and critically evaluate empirical research, develop skills in using statistical software, and apply quantitative methods to policy evaluation and decision-making. Through practical exercises and case studies, the course equips students with the tools needed to conduct rigorous quantitative analysis and make evidence-based policy recommendations. This Learning Course is a platform that helps students to study and learn. The platform provides all the required material for the students to study. The material includes Study guide, Exam Questions & Answers, Study Notes and other resources that are useful for the students. It also gives information about the upcoming exams so that students can prepare themselves accordingly.