Mine Çetinkaya-Rundel is Professional Educator and Data Scientist at RStudio as well as Senior Lecturer in the School of Mathematics at University of Edinburgh (on leave from Department of Statistical Science at Duke University). Mine’s work focuses on innovation in statistics and data science pedagogy, with an emphasis on computing, reproducible research, student-centered learning, and open-source education as well as pedagogical approaches for enhancing retention of women and under-represented minorities in STEM. Mine works on integrating computation into the undergraduate statistics curriculum, using reproducible research methodologies and analysis of real and complex datasets. She also organizes ASA DataFest and works on the OpenIntro project. She is also the creator and maintainer of datasciencebox.org and she teaches the popular Statistics with R MOOC on Coursera.
May 31, 2022
The Designing the Data Science Classroom workshop at rstudio::conf will equip educators with concrete information on content, workflows, and infrastructure for teaching data science.
April 4, 2022
We recently held a Live Series about RStudio Cloud. In this post, we share insights from our presenters on how to teach in the cloud.
March 11, 2021
Like the sun rising in the East, the Shiny Contest returns to reinvigorate the Shiny app development landscape. It is always amazing to see how brilliant and giving this community is. This contest is one way to show off and be recognized for your work, all while sharing such that others can benefits from your example.
January 21, 2021
As enrollments in statistics and data science courses grow and as these courses become more computational, educators are faced with an interesting challenge -- providing timely and meaningful feedback, particularly with online delivery of courses.
July 13, 2020
After evaluating 220 submissions from 183 unique Shiny developers this year, RStudio is proud to finally announce the winners of the 2020 Shiny Contest.
March 31, 2020
In this webinar we will walk you through the steps of setting up your course on RStudio Cloud, highlighting the various functionalities for teachers and students.
June 12, 2019
Much has been written in the statistics and data science education literature about pedagogical tools and approaches to provide a practical computational foundation for students.
November 17, 2017
An analysis in R, using a variety of packages for web scraping and processing non-tidy data into tidy data frames to be used in geospatial analysis.
November 1, 2017
The courses focuses on data acquisition and wrangling, exploratory data analysis, data visualization, and effective communication and approaching statistics from a model-based, perspective.
September 27, 2017
Shiny is an R package that makes it easy to build interactive web apps straight from R.
