Courses in Statistics, Data Analysis, and Quantitative and Qualitative Methods
From May through August, the ICPSR Summer Program offers more than 80 courses in statistics, quantitative and qualitative methods, and data analysis for researchers across the social, behavioral, and health sciences. Our courses cover a wide range of topics and techniques, from introductory statistics and regression analysis to advanced multilevel models and Bayesian analysis to machine learning, among others. Our broad curriculum is designed to fulfill the training needs of researchers throughout their education and careers. Both our in-person and online courses feature extended access to lecture recordings and course materials after the course ends.
At the ICPSR Summer Program, you will learn how to understand your data while gaining valuable research skills that will help you address real-world problems and advance policy solutions. Instruction features hands-on, applied work in several popular statistical software packages. You will also get individual feedback and guidance in one-on-one consultations with our respected faculty.
General Sessions: Comprehensive Methods Program
Our general sessions are a comprehensive methods training program comprising more than forty courses and lectures, including network analysis, longitudinal analysis, time series analysis, formal models, data visualization, and more. Select the classes you want and customize your own unique schedule!
Topical Workshops
For those needing to learn a specific methodological technique in a shorter time frame, we offer dozens of topical workshops on a range of techniques and topics, including mixed methods, structural equation models, group-based trajectory models, difference-in-difference designs, item response theory, and more.
“The most meaningful moment of my ICPSR camp experience was the ‘Ah hah!’ feeling I had when the instructors sat with me and helped me find an answer for myself. More important than just teaching me the material, they helped me build my self-confidence (which anyone who has ever dived headfirst into major statistical analyses knows is half the battle).”