Date: April 19th
Time: 11:00 AM EDT
Description: At RStudio we think about a model for data science that begins with importing and tidying data, continues with an iterative cycle of transforming, modelling, 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.
Logistics: Only 1,000 live attendees are allowed in the Webinar on a first come first serve basis. It is typical for many people who register to not attend (which is why registration does not guarantee access.) If for any reason you cannot make the webinar or cannot get in we will provide links to the recording as well as all materials within 48 hours.
The tidyverse and RStudio Connect Webinar Registration:
Nathan Stephens, Director of Solutions Engineering - 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.
Webinar Recordings: We try to record every webinar we host and post all materials on our website.
http://www.rstudio.com/resources/webinars/
Slides & Code:
We've started a Github repository with all webinar materials. Speakers for this webinar and all future webinars will add their materials to the repository.
https://github.com/rstudio/webinars