Statistics is the science of learning from data. Statisticians collect, organize, analyze, interpret, and present data. We are constantly seeking better ways to do that in more and more challenging situations, using mathematics, computing, and insight. People use statistics in business, industry, medicine, government, and scientific research.
Services that we offer
Statistical Consulting:
We offer statistical consulting services to people both inside and outside of the University. Visit our consulting page to learn more.
Event Assistance:
We provide logistical support to university entities and organizations interested in hosting educational statistics-related events and activities. Initiatives must foster interdisciplinary collaboration among statisticians, data scientists, and subject matter experts. Please connect our google form to learn more or to propose an event.
Past Events
2024 <RUN>:\THE\WORLD Machine Learning Camp for High School Students (July 8-19, 2024)
Past Events
2024 IRSA Conference: New Perspectives on the Analysis of Complex Multivariate Data (May 30-31, 2024)
Collaborative Workshop on Socioeconomic Inequality (November 17, 2023)
2023 <RUN>:\THE\WORLD Machine Learning Camp for High School Students (June 20-30, 2023)
The Fast and the Curious: Modern Markov Chain Monte Carlo (May 18-20, 2023)
Python and Statistical Analysis (October 19-21, 2021)
noRth 2021 (September 29-30, 2021)
Questions About Reproducibility in an Age of Big Data (May 6-8, 2021)
Unlocking the Agricultural Data Revolution (September 24-25, 2020)
noRth 2020 (July 14-15, 2020)
Women in Data Science Symposium (November 16, 2019)
Performing Linear Regression with R (November 1, 2019)
Conversations about Science and Society: Personality, Sex, and Reproducibility (October 29, 2019)
Record Linkage Workshop (September 20, 2019)
Recent Progress in Foundational Data Science (September 16-17, 2019)
noRth: A Regional Conference for Intermediate R Users (August 15-16, 2019)
Introduction to Reproducible Data Science with R (August 14-15, 2019)
IRSA Conference 2019: Causal Inference and Data Science (May 2-3, 2019)
Cook's Distance and Beyond: A Conference Celebrating the Contributions of R. Dennis Cook to Statistical Science (March 22-23, 2019)
Individual-Level Analyses with Series of Cross-Sectional Data (March 1, 2019)
Modeling Natural Catastrophes: Is it a Complete Disaster (November 27, 2018)
Blockchain: Finance and Data Perspectives (November 6, 2018)
Big Data and the Future of Social Research (October 11, 2018)
Measuring the Political Arena (September 24, 2018)
Introduction to Data-Analysis with R and Reproducible Data (August 16-17, 2018)
IRSA Annual Conference: Statistics and Data Science for Earth Systems (May 3-5, 2018)
Statistics, Monte Carlo, and so Much More: A Conference in Honor of Charlie Geyer (April 6-7, 2018)
