At RStudio we think about a model for data science that begins with importing and tidying data, continues with an iterative cycle of transforming, modeling, and visualizing data, and ends with communicating results. We’ve built tools and packages to help you succeed across this cycle: RStudio and Notebooks for interactive development, the Tidyverse for making data science easier and more effective, and R Markdown, Shiny, and the new RStudio Connect (Pro) for communicating results. In this talk we’ll share the way we think about data science and our toolchain.
Nathan has a background in analytic solutions and consulting. He has experience building data science teams, architecting analytic infrastructure, and delivering innovative data products. He is a long time user of R.
