01-Grammar-and-Graphics-of-Data-Science
02-Reproducible-Reporting
04-Managing-package-dependencies-in-R-with-packrat
05-Data-Wrangling-with-R-and-RStudio
06-Collaboration-and-time-travel-version-control
07-Dynamic-Dashboards-with-Shiny
08-How-to-start-with-Shiny-Part-1
09-How-to-start-with-Shiny-Part-2
10-How-to-start-with-Shiny-Part-3
12-Getting-started-with-R-Markdown
20-RStudio-server-pro-administration
21-Shiny-server-pro-administration
shiny-gadgets-webinar.pdf
37-Making-Websites-with-blogdown
41-Beyond-static-reports-with-RMarkdown
42-Introduction to sparklyr
43-extending-spark-using-sparklyr-and-r
44-advanced-sparklyr-features
45-deployment-modes-sparklyr
46-tidyverse-visualisation-and-manipulation-basics
58-professional-R-tooling-and-integration
68-best-practices-for-administering-rstudio-products
69-what-every-data-scientist-should-know-about-education
71-rstudio-cloud-in-classroom
72-introduction-to-tidy-statistics-with-r
75-reproducibility-in-production
77-how-gsk-is-using-r-to-drive-agility
Introduction_Slides_files
78-rstudio-single-home-r-python.pdf
R & Python_ A Data Science Love Story.pdf
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