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: Dec - 2, 9, 16 of 2015 & Jan - 6, 20 & Feb 3 of 2016
Time: 11:00 AM EDT

Description:

RStudio Essentials Webinar Series

The RStudio IDE is bursting with capabilities and features. Do you know how to use them all? This webinar series, "RStudio Essentials," is the perfect way to learn how to use the IDE to its fullest.  The series is broken into six sections always on a Wednesday at 11 a.m. EDT:

  • Programming Part 1 (Writing code in RStudio) - December 2nd 
  • Programming Part 2 (Debugging code in RStudio) - December 9th 
  • Programming Part 3 (Package Writing and in RStudio) - December 16th 
  • Managing Change Part 1 (Projects in RStudio) - January 6th
  • Managing Change Part 2 (Github and RStudio) - January 20th 
  • Managing Change Part 3 (Package version with Packrat) - February 3rd

Each webinar will be 30 minutes long, which will make them easy to attend. If you miss a live webinar or want to review them, recorded versions will be available to registrants.

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.

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

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.


RStudio Essentials Webinar Registration:


Presenter:

Garrett Grolemund Garrett Grolemund, Data Scientist and Master Instructor - Garrett is the Editor and Chief of the Shiny Development Center (shiny.rstudio.com), the official source of documentation, articles, and how-to examples for Shiny. He wrote the popular lubridate package and is the author of Hands On Programming with R and the upcoming book, R for Data Science, from O’Reilly Media. He holds a PhD in Statistics and specializes in Data Visualization. GitHub



Live on Dec 2nd, 9th, 16th and Jan 6th, 20th at 11am EDT
Approximately 45 minutes of presentation followed by 15 Minutes of Q&A.

Register once for all 6 webinars