RStudio provides the premiere open source and enterprise-ready professional software for data scientists moving to R from less flexible, proprietary, and expensive analytic platforms. Shiny, ggvis, dplyr, knitr, R Markdown, and packrat are R packages from RStudio that every data scientist will want to enhance the value, reproducibility, and appearance of their work.

Date: February 11, 2015
Time: 11:00 AM EST

Presenter:

Hadley Wickham Hadley Wickham - Hadley is Chief Scientist at RStudio and Adjunct Professor of Statistics at Rice University. His work includes R packages for data analysis (ggplot2, plyr, reshape2); packages that make R less frustrating (lubridate for dates, stringr for strings, httr for accessing web APIs); and that make it easier to do good software development in R (roxygen2, testthat,devtools, lineprof, staticdocs). He is also a writer, educator, and frequent contributor to conferences promoting more accessible and more effective data analysis. GitHub  

   

   
 

Version control with git, github and RStudio Webinar Registration:


Description:

Understanding git & github give you two data science superpowers:

  • Collaboration: With git and github, you can easily work with others. You no longer have to email files back and forth, or fight over who's editing which file in dropbox. Instead, you can work independently, and trust git to combine (aka merge) your work.
  • Time travel: git allows you to back in time to before you made that horrific mistake. You can replay history to see exactly what you did, and track a bug back to the moment of its creation. Git even allows you to do the code equivalent of travelling back in time to kill your own grandfather!

Join us to learn how RStudio can help you!

Live on February 11th at 11am EST - Approximately 45 minutes of presentation followed by 15 MInutes of Q&A

Our webinar host, GoToWebinar, Now Supports Linux for VIDEO ONLY you must dial in by Telephone to the conference.

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.


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.