About Us
Since its founding in 2005, Statistical Horizons has established a reputation for providing outstanding training in statistics for researchers working in academia, business, non-profit organizations, and government.
Learn Efficiently
Learn statistical methods
At Statistical Horizons, you can learn the latest statistical methods in an efficient, affordable, and enjoyable manner. We offer a roster of over 35 instructors and 60 rotating courses. Last year more than 3,000 researchers attended our seminars. All of our seminars are now held online, drawing participants from around the world.
Statistical Horizons provides public online seminars that cover a wide range of topics in statistics, from linear regression to more advanced subjects like regression discontinuity designs and Bayesian data analysis. In addition to our public courses, we also provide seminars and training that can be targeted to the specific needs of your organization. Many of our seminars cover topics that are not often found in graduate curricula, like missing data and propensity score methods.
Our Leaders
Meet the Founder & President of Statistical Horizons and AI Horizons
Paul Allison, Ph.D., is professor emeritus of the University of Pennsylvania where he taught graduate courses in methods and statistics for more than 35 years.
Allison is widely recognized as an extraordinarily effective teacher of statistical methods who can reach students with highly diverse backgrounds and expertise.
AI and LLM Training
AI Horizons
In 2026, AI Horizons, a new division of Statistical Horizons, was established to address the growing role of artificial intelligence in research and data analysis. Rapid advances in large language models (LLMs), generative AI, and related technologies are transforming how data are collected, managed, analyzed, and communicated. Yet many researchers lack accessible training in how to use these tools effectively and responsibly.
AI Horizons offers online AI seminars and LLM training that help researchers use these tools effectively and responsibly across the research workflow, including coding support, data analysis, literature review, study design, and scientific writing. Like Statistical Horizons, AI Horizons emphasizes clear instruction, hands-on applications, and methodological rigor so participants can apply AI and LLMs to their work with confidence.
Our Instructors
Our instructors are the best in the business. They are all well-known experts in their areas of interest, and they are also great teachers. They excel at making statistics interesting, comprehensible, and enjoyable, even for those without a heavy-duty math background.
