Mine Çetinkaya-Rundel

Mine Çetinkaya-Rundel is an Assistant Professor of the Practice at the Department of Statistical Science at Duke University. She received her Ph.D. in Statistics from the University of California, Los Angeles, and a B.S. in Actuarial Science from New York University's Stern School of Business. Dr. Çetinkaya-Rundel is primarily interested in innovative approaches to statistics pedagogy. Some of her recent work focuses on developing student-centered learning tools for introductory statistics courses, teaching computation at the introductory statistics level with an emphasis on reproducibility, and exploring the gender gap in self-efficacy in STEM fields. Her research interests also include spatial modeling of survey, public health, and environmental data. She is a co-author of OpenIntro Statistics and a contributing member of the OpenIntro project, whose mission is to make educational products that are open-licensed, transparent, and help lower barriers to education. She is also a co-editor of the Citizen Statistician blog and a contributor to the Taking a Chance in the Classroom column in Chance Magazine.

Filter Courses within "Mine Çetinkaya-Rundel" (Click to filter)
Bayesian Statistics (Coursera) Coursera
Duke University

Bayesian Statistics (Coursera)

Embark on an enlightening journey into the world of Bayesian Statistics with this engaging Coursera course. Master the art of updating your inferences based on accumulating evidence, learning to transform prior probabilities into insightful posterior probabilities. Delve into the theory and perspective that underpin the Bayesian approach, equipping you with a powerful toolset for data analysis.

Jun 15th 2026
5-12 Weeks
Introduction to Probability and Data with R (Coursera) Coursera
Duke University

Introduction to Probability and Data with R (Coursera)

Discover the basics of probability and data analysis with our Introduction to Probability and Data with R course. Gain essential skills in exploring data, understanding different types of sampling methods, and applying Bayes' rule. Enhance your knowledge of numeric summary statistics and basic data visualization techniques using R programming language.

Jun 8th 2026
5-12 Weeks
Inferential Statistics (Coursera) Coursera
Duke University

Inferential Statistics (Coursera)

Discover the power of Inferential Statistics with this engaging Coursera course. Designed for beginners and professionals alike, this program will equip you with essential skills to analyze and interpret data, perform hypothesis tests, and communicate your findings clearly. Dive into practical applications using R and RStudio, free statistical software, and apply these techniques to real-world datasets.

Jun 8th 2026
5-12 Weeks
Page 1