Kelly Nicole Bodwin | Intro stats with R: Easing the transition to software for beginners | RStudio
Talk from rstudio::conf(2019)
In this talk, we will present our approach to incorporating R and RStudio into a 10-week introductory statistics course for non-majors Cal Poly. Our primary contribution will be to share a series of Shiny Apps, created to ease students with no statistical or coding background into the philosophy of using programming tools to explore data. Our program was recently used in 3 sections of 35 students each this Fall, during which students were surveyed regularly for their reactions to the approach. We will demonstrate our new tools, discuss our successes and failures, share student-generated output, and summarize the results of our Fall survey.
Kelly teaches at Cal Poly in San Luis Obispo, California, where she takes great joy in forcing statistical thought and R skills upon unsuspecting undergraduates. Her research is in clustering methods, digital humanities, and R tools for education. In her free time, she hikes and camps, plays board games, and tweets too much about R
rstudio
Shiny
RStudio
Data Science
Machine Learning
Python
Stats
Tidyverse
Data Visualization
Data Viz
Ggplot
Technology
Coding
Connect
Server Pro
Shiny
Rmarkdown
Package Manager
CRAN
Interoperability
Serious Data Science
Dplyr
Forcats
Ggplot2
Tibble
Readr
Stringr
Tidyr
Purrr
Github
Data Wrangling
Tidy Data
Odbc
Rayshader
Plumber
Blogdown
Gt
Lazy Evaluation
Tidymodels
Statistics
Debugging
Programming Education
Rstats
Open Source
Oss
Reticulate
Kelly Bodwin
Beginner
