R training

Master the tidyverse

2017-08-16 Roger Oberg
If you’ve read the book “R for Data Science” or plan to, now you can dive deeper with co-author and RStudio Master Instructor Garrett Grolemund, winner of the Excellence in CE Award at JSM 2017! This two day workshop provides a comprehensive overview of what is now called the Tidyverse, a core set of R packages that are essential to Data Science. You will visualize, transform, and model data in R and work with date-times, character strings, and untidy data formats. Read more →

Building tidy tools workshop

2017-08-10 Roger Oberg
Have you embraced the tidyverse? Do you now want to expand it to meet your needs? Then this is a NEW two-day hands on workshop designed for you! The goal of this workshop is to take you from someone who uses tidyverse functions to someone who can extend the tidyverse by: Writing expressive code using advanced functional programming techniques Designs consistent APIs using analogies to existing tools Uses the S3 object system to make user friendly values Can bundle functions with documentation and tests into a package to share with others. Read more →

Registration open for rstudio::conf 2018!

2017-07-12 Roger Oberg
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RStudio is very excited to announce that rstudio::conf 2018 is open for registration! rstudio::conf, the conference on all things R and RStudio, will take place February 2 and 3, 2018 in San Diego, California, preceded by Training Days on January 31 and February 1. This year’s conference will feature keynotes from Di Cook, Monash University Professor and Iowa State University Emeritus Faculty; and J.J. Allaire, RStudio Founder, CEO & Principal Developer, along with talks from Shiny creator Joe Cheng and (no-introduction-necessary) Hadley Wickham. Read more →

Register now for RStudio Shiny Workshops in D.C., New York, Boston, L.A., San Francisco and Seattle

2015-01-28 Roger Oberg
Great news for Shiny and R Markdown enthusiasts! An Interactive Reporting Workshop with Shiny and R Markdown is coming to a city near you. Act fast as only 20 seats are available for each workshop. You can find out more / register by clicking on the link for your city! East Coast West Coast March 2 - Washington, DC April 15 - Los Angeles, CA March 4 - New York, NY April 17 - San Francisco, CA March 6 - Boston, MA April 20 - Seattle, WA You’ll want to take this workshop if… Read more →

Meet us at R Day and at the Strata+Hadoop World NYC Oct 15-17, 2014

2014-09-30 Roger Oberg
Are you headed to Strata? It’s just around the corner! We particularly hope to see you at R Day on October 15, where we will cover a raft of current topics that analysts and R users need to pay attention to. The R Day tutorials come from Hadley Wickham, Winston Chang, Garrett Grolemund, J.J. Allaire, and Yihui Xie who are all working on fascinating new ways to keep the R ecosystem apace of the challenges facing those who work with data. Read more →

Registration now open for Master R Developer workshop in San Francisco

2014-09-29 Garrett Grolemund
Registration is now open for the next Master R Development workshop led by Hadley Wickham, author of over 30 R packages and the Advanced R book. The workshop will be held on January 19 and 20th in the San Francisco bay area. The workshop is a two day course on advanced R practices and package development. You’ll learn the three main paradigms of R programming: functional programming, object oriented programming and metaprogramming, as well as how to make R packages, the key to well-documented, well-tested and easily-distributed R code. Read more →

Introduction to Data Science with R, April 28-29 San Francisco

2014-04-03 Roger Oberg
Please join us for our popular Introduction to R course for data scientists and data analysts in San Francisco on April 28 and 29. This is a two-day workshop, designed to provide a comprehensive introduction to R that will have you analyzing and modeling data with R in no time. We will cover practical skills for visualizing, transforming, and modeling data in R. You will learn how to explore and understand data as well as how to build linear and non-linear models in R. Read more →