Data Science Pedagogy | Stats + Stories Episode 253

In the past, Introduction to Statistics classes spent a lot of time covering distribution tables, teaching students to run stats by hand and focusing on statistical procedures. However, educators are continually considering new ways to teach stats, and the increasing popularity of data science makes it a more urgent prospect for some. That's the focus of this episode of Stats and Stories with guest Mine Çetinkaya-Rundel. Mine Çetinkaya-Rundel (@minebocek) is a senior lecturer at University of Edinburgh, an associate professor of the practice at Duke University, and a professional educator at RStudio. She has author of three open source statistics textbooks and is an instructor for Coursera. Her work focuses on innovation in statistics and data science pedagogy, with an emphasis on computing, reproducible research, student-centered learning, and open-source education. She works on integrating computation into the undergraduate statistics curriculum, using reproducible research methodologies and analysis of real and complex datasets. In addition to her academic position, she also works with RStudio, where her focus is primarily on education for open-source R packages as well as building resources and tools for educators teaching statistics and data science with R and RStudio. How did stats pedagogy become a focus for you? 1:00 Changes in statistics education 2:36  How has the public nature of data and statistical data affected you? 7:13 How do you get students to think about ethics when they're grabbing data? 9:28 Current practitioners 12:43  People that take one stats class 17:17 The future of this practice. 23:41