Garrett Grolemund
Garrett is the author of HandsOn Programming with R and coauthor of R for Data Science and R Markdown: The Definitive Guide. He is a Data Scientist at RStudio and holds a Ph.D. in Statistics, but specializes in teaching. He's taught people how to use R at over 50 government agencies, small businesses, and multibillion dollar global companies; and he's designed RStudio's training materials for R, Shiny, R Markdown and more. Garrett wrote the popular lubridate package for dates and times in R and creates the RStudio cheat sheets.

R Markdown: The Bigger Picture (EARL London 2018)
Data Science is threatened by a looming credibility crisis: too many scientific results are not reproducible. Unfortunately, data scientists have accidentally contributed to the problem.
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53:23
Reproducibility in Production
Computational documents offer limitless opportunities for your business. With them, your consumers can rerun your report with new parameters, apply your analysis to new data, or schedule updates.
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18:51
R Markdown: The bigger picture  Garrett Grolemund
Statistics has made science resemble math, so much so that we've begun to conflate pvalues with mathematical proofs.
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50:22
How to Work with List Columns  Garrett Grolemund
This webinar breaks down one of the most esoteric concepts in the tidyverse: list columns.
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56:44
Tidyverse visualization manipulation basics  This introduction to the tidyverse will cover several best practices for analyzing data with R
This introduction to the tidyverse will cover several best practices for analyzing data with R.
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39:26
Part 2  Easy ways to collect different types of data from the web with R
Easy ways to collect different types of data from the web with R.
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41:49
Part 1  Easy ways to collect different types of data from the web with R
Easy ways to collect different types of data from the web with R.
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53:48
Data wrangling with R and RStudio
Before an R program can look for answers, your data must be cleaned up and converted to a form that makes information accessible.
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42:26
Introducing Shiny Gadgets: Interactive Tools
A Shiny Gadget is an interactive tool that enhances your R programming experience.
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37:48
Managing  Part 3 (Packrat and RStudio)
This webinar series, “RStudio Essentials,” is the perfect way to learn how to use the IDE to its fullest. Part 6 of 6 is about managing packages in RStudio.
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47:03
Managing  Part 2 (Github and RStudio)
This webinar series, “RStudio Essentials,” is the perfect way to learn how to use the IDE to its fullest. Part 5 of 6 is about using Github in RStudio.
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37:25
Managing  Part 1 (Projects in RStudio)
This webinar series, “RStudio Essentials,” is the perfect way to learn how to use the IDE to its fullest. Part 4 of 6 is about managing projects in RStudio.
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37:10
Programming  Part 3 (Package writing in RStudio)
This webinar series, “RStudio Essentials,” is the perfect way to learn how to use the IDE to its fullest. Part 3 of 6 is about writing packages in RStudio.
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31:18
Programming  Part 2 (Debugging code in RStudio)
This webinar series, “RStudio Essentials,” is the perfect way to learn how to use the IDE to its fullest. Part 2 of 6 is about debugging code in RStudio.
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33:50
Programming  Part 1 (Writing code in RStudio)
This webinar series, “RStudio Essentials,” is the perfect way to learn how to use the IDE to its fullest. Part 1 of 6 is about writing code in RStudio.
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