Jeffrey Arnold

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Jeffrey Arnold | Solving R for data science | RStudio (2019)

While teaching a course using “R for Data Science”, I wrote a complete set of solutions to its exercises and posted them on GitHub. Then other people started finding them. And now I’m here. In this talk, I’ll discuss why I did it, and what I learned from the process, both what I learned about the Tidyverse itself, and what I learned from teaching it.

About Jeffrey: I am formerly an Assistant Professor of Political Science of Political Science University of Washington and Core Faculty Member in the Center for Statistics and the Social Sciences, an Instructor of Political Science and QuanTM Pre-Doctoral Fellow at Emory University. I received Ph.D. in political science at the University of Rochester. Prior to graduate studies, I was a Research Associate/Economist in the Money and Payments Studies research group at the Federal Reserve Bank of New York

rstudio tidyverse 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 Jeffrey Arnold