conference 2017-11-13T10:44:35+00:00

About

rstudio::conf is about all things R and RStudio! In January 2017, 465 people attended, giving it an average score of 8.7 out of 10. Now you can join us and hundreds of advanced and new R users in San Diego January 31 to February 3, 2018 to become better at data science with R – and have some fun along the way!

For 2018 we’ve added more optional Training Days workshops for people newer to R and for advanced users and administrators. We’ve also expanded to three conference tracks: One focused on the fundamentals of data science with R, another mostly for more experienced RStudio users on advanced capabilities, R in “production” and interoperability, and a third on solutions to interesting problems.

Don’t miss the opportunity to network with RStudio users from around the world, learn from RStudio speakers and leading R practitioners, and enjoy the warm spirit of San Diego in January!

Overall, one of the best conferences I’ve attended on any subject.
– rstudio::conf 2017 attendee

Register now

Speakers

This year’s conference will feature keynotes from Di Cook, Professor, Econometrics and Business Statistics, Monash University, ordinary Member of the R Foundation and Fellow of the ASA; and J.J. Allaire, RStudio Founder, CEO & Principal Developer, along with talks from Shiny creator Joe Cheng and Chief Scientist Hadley Wickham.

We are especially happy that the following outstanding R innovators have accepted invitations to speak:

Speaker
Role
Affiliation
Mara Averick Research Analyst, Data Nerd TCB Analytics
Nick Carchedi Director of Content DataCamp
Tanya Cashorali Data Entrepreneur TCB Analytics
Eric Colson Chief Algorithms Officer Stitch Fix
Sandra Griffith Senior Methodologist Flatiron Health
Aaron Horowitz Analytics Team Leader McKinsey
JD Long Economist & Cocktail Party Host
Elaine McVey Data Science Lead TransLoc
Logan Meltabarger Information Science & Analytics Slalom Consulting
Ian Lyttle Senior Staff Engineer Schneider Electric
Edzer Pebesma Institute for Geoinformatics University of Muenster
Thomas Lin Pedersen Analytics Programmer SKAT
Olga Pierce Deputy Data Editor, Reporter ProPublica
David Robinson Data Scientist Stack Overflow

Attendees will also hear from a rare assembly of popular RStudio data scientists and developers like Yihui Xie, Winston Chang, Garrett Grolemund, Jenny Bryan, Max Kuhn, Kevin Ushey, Gabor Csardi, Amanda Gadrow, Jeff Allen, Jonathan McPherson, Javier Luraschi, Lionel Henry, Jim Hester, Bárbara Borges Ribeiro, Nathan Stephens, Sean Lopp, Edgar Ruiz, Phil Bowsher, Jonathan Regenstein, Mine Çetinkaya-Rundel and Joseph Rickert.

Training Days

For 2018 we’ve added more optional Training Days workshops on data science fundamentals, advanced users, and administrators.

Newer to R
Training Days

Intro to R & RStudio
Amelia McNamara
This is a two-day hands on workshop designed for people who are brand new to R & RStudio and who learn best in person. You will learn the basics of R and data science, and practice using the RStudio IDE (integrated development environment) and R Notebooks. We will have a team of TAs on hand to show you the ropes, and help you out when you get stuck.

This course is taught by friend of RStudio, Amelia McNamara, a Smith College Visiting Assistant Professor of Statistical and Data Sciences & Mass Mutual Faculty Fellow.

Data Science in the Tidyverse
Charlotte Wickham
This is a two-day hands on workshop based on the book R for Data Science. This workshop is designed for people who are familiar with R and want to learn how to achieve their data analysis goals the “tidy” way. You will learn how to visualize, transform, and model data in R and work with date-times, character strings, and untidy data formats. Along the way, you will learn and use many packages from the tidyverse including ggplot2, dplyr, tidyr, readr, purrr, tibble, stringr, lubridate, and forcats.

This course is taught by friend of RStudio, Charlotte Wickham, a professor and award winning teacher and data analyst at Oregon State University.

Intro to Shiny & R Markdown
Mine Çetinkaya-Rundel
This is a two-day hands on workshop for people who know their way around the RStudio IDE and R and are now looking for the most effective way to become proficient in the basics of Shiny application development and using R Markdown to communicate insights from data analysis to others.

This course is taught by Mine Çetinkaya-Rundel, Duke professor and RStudio professional educator. Mine is well known for her open education efforts, and her popular data science MOOCs.

More familiar with R
Training Days

Applied Machine Learning [SOLD OUT!]
Max Kuhn
This two-day course will provide an overview of using R for supervised learning. The session will step through the process of building, visualizing, testing and comparing models that are focused on prediction. The goal of the course is to provide a thorough workflow in R that can be used with many different regression or classification techniques. Case studies are used to illustrate functionality.

This course is taught by Max Kuhn, Software Engineer and Data Scientist at RStudio and co-author of Applied Predictive Modeling. Basic familiarity with R is required.

Intermediate Shiny
Joe Cheng
This two-day workshop is designed for the experienced Shiny developer. It assumes that you are already familiar with Shiny. By taking this workshop, you’ll improve your understanding of shiny’s foundations and learn deeper insights to reactivity. By the end of the two days, you’ll be able to push the envelope of what you and your organizations can do with Shiny.

This course is taught by Joe Cheng, shiny creator and RStudio CTO. You’ll not only learn from the creator of shiny, but you’ll have hands on time where you can ask him the questions that stump you.

Extending the Tidyverse
Hadley Wickham
This is a NEW two-day hands on workshop designed for those who have embraced the tidyverse and now want to expand it to meet their own needs. 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.

This course is taught by Hadley Wickham, RStudio’s Chief Scientist. Frankly, if you don’t already know more than you wanted to about him, you shouldn’t be taking this course!

What They Forgot to Teach You About R (aka Getting S*%! Done in R)
Jenny Bryan
This is a NEW two-day hands on workshop designed for experienced R and RStudio users who want to extend their R skills to make their lives easier outside of data science. You’ll learn a whole bunch of useful tools for automating common tasks in R, such as working with directories full of files, scraping websites, automatically producing reports, and more.

This course is taught by Jenny Bryan, a Software Engineer and Data Scientist at RStudio and Associate Professor of Statistics (on leave) at the University of British Columbia. Jenny is widely hailed for making github a catalyst rather than an impediment to R happiness.

Big Data with R
Edgar Ruiz
Learn how to use R with Hive, SQL Server, Oracle and other scalable external data sources along with Big Data clusters in this two-day workshop. We will cover how to connect, retrieve schema information, upload data, and explore data outside of R. For databases, we will focus on the dplyr, DBI and odbc packages. These packages enable us to use the same dplyr verbs inside R but are translated and sent as SQL queries. For Big Data clusters, we will also learn how to use the sparklyr package to run models inside Spark and return the results to R. We will review recommendations for connection settings, security best practices and deployment options. Throughout the workshop, we will take advantage of the new data connections available with the RStudio IDE.

This course is taught by Edgar Ruiz. Edgar Ruiz is a solutions engineer at RStudio with a background in deploying enterprise reporting and business intelligence solutions. He is the author of multiple articles and blog posts sharing analytics insights and server infrastructure for data science.

Advocates & Admins
Training Days

Tidyverse Train-the-Trainer
Garrett Grolemund

This two day workshop will equip you to teach R effectively. We will draw on RStudio’s experience teaching R to recommend tips for designing, teaching, and supporting short R courses. You will learn practical activities that you can use immediately to improve your presentation style, learning outcomes, and student engagement. Classroom examples will focus on teaching Master the Tidyverse, a two day workshop developed by RStudio; as well as on using RStudio Cloud and its curriculum of tutorials to jump-start your own lessons. You will leave the class with a cognitive model of learning that you can use to develop your own effective workshops or courses within your organization. Participants will receive the course materials for Master the Tidyverse as well as a certificate of completion.

The course will be taught by Garrett Grolemund, RStudio’s Master Instructor. Prior teaching experience is helpful, but not required. Please bring a laptop and a device that has video recording capabilities (such as a laptop or cell phone).

RStudio Connect Administrator
Sean Lopp
This is a one-day workshop on February 1, 2018 for system administrators, designed to cover everything you need to know to setup and administer RStudio Connect. Topics will include installation and configuration, user, content, and process management, and advanced topics like offline deployment, high availability, DevOps integration, and security best practices. Learn how to support R users and the people who use what they publish to RStudio Connect. Students who complete all of the exercises successfully will receive an RStudio Connect Administrator certificate of completion.

The course will be taught by Sean Lopp, RStudio Solutions Engineer. Sean works with RStudio product teams and helps enterprise customers to realize the value of R. You should be comfortable in the Linux terminal. Experience with R is helpful but not required.

Venue

Discover the vibrant culture and natural beauty of Southern California when you stay at Manchester Grand Hyatt San Diego. Our convenient hotel near downtown San Diego offers a spectacular waterfront resort-like setting, complete with shopping, dining, and entertainment venues. By day you will enjoy easy access to popular attractions, like the world-famous San Diego Zoo, and exciting nightlife activities in Gaslamp District as the sun sets.

Room Reservations

MANCHESTER GRAND HYATT SAN DIEGO
1 Market Place
San Diego, California, USA, 92101
Tel: +1 619 232 1234

Grand Hyatt

Sponsors

Platinum Sponsors

Companies come to Google Cloud to transform their businesses. Our comprehensive portfolio — from infrastructure to apps to devices — helps enterprises innovate faster, scale smarter, stay secure, and do more with data than ever before.

Gold Sponsors

DataCamp focuses on building the best learning experience specifically for R and Data Science. Our learn-by-doing approach combines in-browser coding challenges with fun videos from the best instructors in the field.

Become a Sponsor!

We’d love to have your logo on our website and in all our digital and print conference communications. If you’d like to pick a sponsorship level right now, you can find their descriptions and sign up by clicking the below button. Sponsorships are limited and on a first come first serve basis.

We are offering a multitude of unique branding options, contact anne@rstudio.com for details.

Become a Sponsor

Academic Discounts

Please be aware that we have created a discount specifically for academics. Be sure to use an email address that ends in a .edu domain. We may ask for additional documentation proving your qualification.

Qualifying criteria can be found here: https://www.rstudio.com/pricing/academic-pricing/

We reserve the right to cancel and refund your order if you have no proof of your qualifications.

Code of conduct

RStudio is committed to fostering a productive, harassment-free environment for everyone at rstudio::conf. The rstudio::conf Code of Conduct is described here, and is specific to the event and its participants.

At rstudio::conf:
Participants asked to stop any harassing behavior are expected to comply immediately.

If a participant engages in harassing behavior, event organizers retain the right to take any actions to keep the event a welcoming environment for all participants. This includes warning the offender or expulsion from the conference with no refund.

Event organizers may take action to remedy or set right anything designed to, or with the clear impact of, disrupting the event or making the environment hostile for any participants.

You can make a personal report:

  1. In person: Contact an rstudio::conf staff member or visit the conference registration desk. When taking a personal report, event staff will ensure you are safe and cannot be overheard. They may involve other event staff to ensure your report is managed properly. This can be uncomfortable, but we’ll handle it respectfully and you can bring someone to support you.
  2. By email: Send a message to conf@rstudio.com; event organizers will respond promptly.
  3. By phone: Call 844-448-1212; this phone number will be monitored for the duration of the event.

Our team will help you contact hotel/venue security, local law enforcement, local support (which could include services and transportation as available), or otherwise respectfully assist you to feel safe for the duration of the event.

Stay in touch

Please provide an email address if you’d like to stay in touch with us about rstudio::conf moving forward.