Mine Çetinkaya-Rundel

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.


blog

Winners of the 3rd annual Shiny Contest

June 24, 2021

Announcing the winners of Shiny Contest 2021!

blog

Time to get your Shiny on, Shiny Contest 2021 is here!

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.

rstudio::global 2021

Feedback at scale

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.

blog

Winners of the 2nd Annual Shiny Contest

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.

Webinars

Teaching R online with RStudio Cloud

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.

Webinars

RStudio Cloud in the Classroom

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.

Webinars

Data science case study an analysis in R, using a variety of packages for web scraping and processing non-tidy data into tidy data frames

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.

Webinars

General data science overview - data acquisition and wrangling, exploratory data analysis, data visualization, and effective communication.

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.

Webinars

Introduction to shiny

September 27, 2017

Shiny is an R package that makes it easy to build interactive web apps straight from R.