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(This article was first published on <strong><a href="https://blog.rstudio.com/2017/08/25/rstudio-conf-2018-early-bird-pricing/"> RStudio Blog</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>Immersion is among the most effective ways to learn any language. Immersing where new and advanced users come together to improve their use of the R language is a rare opportunity. <a rel="nofollow" href="https://www.rstudio.com/conference/" target="_blank">rstudio::conf 2018 </a> is that time and place!</p>
<p><strong><a rel="nofollow" href="https://www.rstudio.com/conference/rstudioconf-tickets/" target="_blank">REGISTER TODAY</a></strong></p>
<p><em>Be an Early Bird! <strong>Discounts</strong> for early conference registration <strong>expire August 31</strong>.<br>
Immerse as a team! Ask us about group discounts for 5 or more from the same organization.</em></p>
<p>Rstudio::conf 2018 is a two day conference with optional two day workshops. One of the conference tracks will focus on topics for newer R users. Newer R users will learn about the best ways to use R, to avoid common pitfalls and accelerate proficiency. Several workshops are also designed specifically for those newer to R.</p>
<h2>Intro to R &amp; RStudio</h2>
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<p>Are you new to R &amp; RStudio and do you 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.</p>
<p>This course is taught by well-known R educator and friend of RStudio, Amelia McNamara, a Smith College Visiting Assistant Professor of Statistical and Data Sciences &amp; Mass Mutual Faculty Fellow.</p>
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</ul>
<h2>Data Science in the Tidyverse</h2>
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<p>Are you ready to begin applying the book, R for Data Science? Learn how to achieve your data analysis goals the “tidy” way. You will 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.</p>
<p>This course is taught by friend of RStudio, Charlotte Wickham, a professor and award winning teacher and data analyst at Oregon State University.</p>
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<h2>Intro to Shiny &amp; R Markdown</h2>
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<p>Do you want to share your data analysis with others in effective ways? For people who know their way around the RStudio IDE and R at least a little, this workshop will help you become proficient in Shiny application development and using R Markdown to communicate insights from data analysis to others.</p>
<p>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.</p>
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<p>Whether you are new to the R language or as advanced as many of our speakers and educators, <a rel="nofollow" href="https://www.rstudio.com/conference/" target="_blank">rstudio::conf 2018 </a> is the place and time to focus on all things R &amp; RStudio.</p>
<p>We hope to see you in San Diego!</p>
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<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="https://blog.rstudio.com/2017/08/25/rstudio-conf-2018-early-bird-pricing/"> RStudio Blog</a></strong>.</div>
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