Ryan Timpe | Learning R with humorous side projects | RStudio (2020)
What should you name a new dinosaur discovery, according to neural networks? Which season of The Golden Girls should you watch when playing a drinking game? How can you build a LEGO set for the lowest price? R is constantly evolving, so as users, we’re constantly learning. Over the past few years, I’ve found that working on side projects is great for hands-on learning - and for me, the more absurd the project, the better. Side projects provide a safe, low-stakes environment to learn new packages and methodologies before using them in work or in production. Sharing those projects can help publicize the package and increase its accessibility, benefiting both the original author and future users. In this talk, I’ll share my experiences with side projects for learning state-of-the-art data science tools and growing as an R user, including how one project helped me land my dream job
rstudio
Rstudio::conf(2020)
Ryan Timpe
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
