- Learning Roadmap
- Important RStudio Sites
Mine is Professional Educator at RStudio and Associate Professor of the Practice at Duke University. Her work focuses on innovation in statistics pedagogy, with an emphasis on computation, reproducible research, open-source education, and student-centered learning. She is the author of three open-source introductory statistics textbooks as part of the OpenIntro project and teaches the popular Statistics with R MOOC on Coursera.
RStudio Cloud in the Classroom
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.
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
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.
General data science overview - data acquisition and wrangling, exploratory data analysis, data visualization, and effective communication.
The courses focuses on data acquisition and wrangling, exploratory data analysis, data visualization, and effective communication and approaching statistics from a model-based, perspective.
Introduction to shiny
Shiny is an R package that makes it easy to build interactive web apps straight from R.