A woman with short curly hair and floral shirt holding a really large die in her hand

Mine Dogucu, PhD

Associate Professor of Teaching and
Vice Chair of Undergraduate Studies
Department of Statistics
Donald Bren School of Information and Computer Sciences
University of California, Irvine

See Curriculum Vitae

This is how my name is pronounced: Mi - neh Doe - uu- joo. In the audio file below, I pronounce my name.

I am an educator with an interest in statistics and data science education and I am an applied statistician with experience in educational research. In short, my educational work is in statistics and data science and my statistics and data science work is in education.

Some of my work has fortunately been supported by the National Science Foundation and National Institutes of Health.

My broader goal is to create statistics and data science classrooms and curricula that are accessible and inclusive and relevant across all sciences. I try to work towards this goal at my institution, at a national level, and at an international level with my collaborators. Even though primary focus of my work has been on undergraduate education at four-year institutions, I collaborate on projects involving community colleges and K-12 curricula. Some of my latest work in data science education has been on accessibility, assessing reasoning, instructor knowledge and training, and inferential thinking from a Bayesian lens across STEM disciplines.
See Curriculum Vitae

Teaching

Course Number Course Title Academic Term Links
Stats 5 Seminar in Data Science Winter 2022
Stats 6 Introduction to Data Science Winter 2025
Stats 7 Basic Statistics Spring 2020 On Canvas due to COVID-19
Stats 67 Introduction to Probability and Statistics for Computer Science Winter 2025
Stats 68 Statistical Computing and Exploratory Data Analysis Spring 2021  
Stats 112/203 Statistical Methods for Data Analysis III Spring 2020 On Canvas due to COVID-19
Stats 115 Introduction to Bayesian Data Analysis Winter 2022
Stats 210P Statistical Methods I Winter 2022 On Canvas
Stats 295 Scientific Computing with R Fall 2020

Publication highlights

Research area: Data science education, Bayesian education, Accessibility and inclusion


For a full list of publications please See Curriculum Vitae.

Google Scholar profile
Data Pedagogy Blog

Recent Publications

  • Dogucu, M., Demirci, S., Bendekgey, H.**, Ricci F. Z.**, & Medina, C. M.** (In Press). A Systematic Literature Review of Undergraduate Data Science Education Research Journal of Statistics and Data Science Education.
  • Dogucu, M. (2025) Reproducibility in the Classroom Annual Review of Statistics and Its Application. (2), 89-105.
  • Dogucu, M., Kazak, S. & Rosenberg, J. (2025) The Design and Implementation of a Bayesian Data Analysis Lesson for Pre-Service Mathematics and Science Teachers. Journal of Statistics and Data Science Education. 33(2), 177-188.

    • Current Group Members

    Catalina Medina Federica Zoe Ricci

    Former Group Members

    Harry Bendekgey Sinem Demirci Wendy Moore (née Rummerfield) Giles Pierre Nunez Carlos Feiyi Sun

    Group

    Statistics and Data Science Education Research Group meetings are scheduled for Spring 2025 on Mondays at 10:00 - 11:00 am. The detailed schedule of meetings can be found online. If you would like to attend the group meetings regularly please send me an email. There are many other students who attend the group meetings but are not listed on this page who have not yet delved into conducting education research yet. So, if you are a student, feel free to email me even if you want to take the first step in understanding what statistics and data science education research is all about. Students at all levels and backgrounds are welcome to attend the meetings.

    Talks

    I love talking about
    curriculum design, data science content, R, and Bayesian education

    YouTube playlist of some of my talks

    Featured Talks

    List of some of my recent talks

  • Dogucu, M. The Good, The Bad, and The Ugly Ways of Representing Data. Invited talk at Institute for Data Science and Social Impact at Harvey Mudd College. Claremont, CA. March 2025
  • Dogucu, M. & Çetinkaya-Rundel, M. Tools and recommendations for reproducible teaching . Invited talk at Royal Statical Society Teaching Statistics SIG event at TALMO: Teaching Open, Transparent, and Reproducible Data. Online. March 2025
  • Dogucu, M. Teaching and Learning Bayesian Statistics with {bayesrules}. Invited talk given at the Department of Statistics, University of Auckland, Auckland, NZ, December 2024.

    • For a full list of talks please See Curriculum Vitae

    In the Media

  • Interviewee. Amstat News: Awardees Suggest Applying Widely When Looking for NSF Grant. November, 2023.
  • Interviewee. Significance Magazine: Why your data viz needs alt text. February, 2023.
  • Guest. Sample Space Podcast Episode 6: Teaching Bayesian Statistics and Accessibility in Education. October, 2022.
  • Publication Mentioned. Education Week: Teaching Students to Understand the Uncertainties of Science Could Help Build Public Trust September, 2022.
  • Guest. Learning Bayesian Statistics Podcast Episode 42: How to Teach and Learn Bayesian Stats. June, 2021.
  • Guest. Data Science Education podcast Episode 5: Increasing Accessibility to Data Science Education. May, 2021.
  • Interviewee. SRQ Daily: Teaching Students To Ask Questions, Take Risks. Dec, 2017.
  • Interviewee. ASA's Women in Statistics and Data Science March, 2017.