Which IPSA course should I choose?

Quantitative Methods for Public Policy Analysis is an appropiate course to review the different appropriate techniques for causal effect, used in both the analysis of empirical evidence in the academic field and for the assessment of the public policies success. Introduction to Big Data is an introduction to the most common tools for analyzing large-scale data. The course is designed for Social Science students and professionals with an interest in quantitative methods. Here you learn how to manage databases and the basics of statistical analysis and machine learning.

The Quantitative Modeling for the Social Sciences course is designed to take students with a minimal background in statistics and mathematics and teach them the tools that they need to test their theories and produce presentations of their results for the top journals in Political Science, International Relations, Public Policy, and other related disciplines. Students are encouraged to bring their own datasets so that they can get hands-on experiences with applying the techniques covered in this course.

The Summer School offer includes courses for public oriented to qualitative methods. Qualitative Comparative Analysis (QCA): Performing Basics and Advanced Analyses Using R introduces participants to set-theoretic methods and their application in the social sciences with a focus on Qualitative Comparative Analysis.  

Experimental Methods are social scientists’ most powerful tools for causal inference. In this course students will learn both theoretical and practical fundamentals of experiments, with a dual focus on experimental design and analysis of experimental data. This course will also cover ethical issues and related techniques such as natural experiments and quasi-experiments.