Teaching and Learning Bayesian Statistics with {bayesrules}

# Schedule
Tuesday, October 26, 6:00-7:30 pm (Pacific)
We are co-hosting this with SoCal RUG https://www.meetup.com/SOCAL-RUG/events/281229303/ so there will be no networking for this event.

6:00 - Welcome
7:30 - Meeting Adjourned

# Teaching and Learning Bayesian Statistics with {bayesrules}

Speaker: Mine Dogucu
Bayesian statistics is becoming more popular in data science. Data scientists are often not trained in Bayesian statistics and if they are, it is usually part of their graduate training. During this talk, we will introduce an introductory course in Bayesian statistics for learners at the undergraduate level and comparably trained practitioners. We will share tools for teaching (and learning) the first course in Bayesian statistics, specifically the {bayesrules} package that accompanies the open-access Bayes Rules! An Introduction to Bayesian Modeling with R book. We will provide an outline of the curriculum and examples for novice learners and their instructors.

Speaker Bio:
Mine Dogucu is an Assistant Professor of Teaching and Vice-Chair of Undergraduate Studies in the Department of Statistics at the University of California Irvine. She teaches statistics and data science courses at undergraduate and graduate levels. She is interested in creating educational resources for statistics and data science that are accessible physically and cognitively.

She is a co-Principal Investigator on a project funded by the National Science Foundation’s Harnessing the Data Revolution: Data Science Corps program. Through this project, along with her colleagues, she aims to improve data science education infrastructure in Southern California institutions at UC Irvine, Cal State Fullerton, Cypress College, and beyond and tries to connect data science students with industry and research partners for real data science experiences. She is the coauthor of the book Bayes Rules! An Introduction to Bayesian Modeling with R.