نبذة عن الكتاب:

Garrett هو مؤلف كتاب التدريب العملي على البرمجة مع R ومؤلف مشارك لكتاب R for Data Science و R Markdown: الدليل النهائي. وهو عالم بيانات في RStudio وحاصل على درجة الدكتوراه. في الإحصاء ، لكنه متخصص في التدريس. لقد علم الناس كيفية استخدام R في أكثر من 50 وكالة حكومية ، وشركات صغيرة ، وشركات عالمية بمليارات الدولارات ؛ وقد صمم مواد تدريب RStudio لـ R و Shiny و R Markdown والمزيد. كتب Garrett حزمة lubridate الشهيرة للتواريخ والأوقات في R وقام بإنشاء أوراق الغش RStudio.

❰ له مجموعة من الإنجازات والمؤلفات أبرزها ❞ R Markdown: The Definitive Guide ❝ ❞ اساسيات R Markdown ❝ ❞ التدريب العملي على البرمجة مع R ❝ الناشرين : ❞ شركة أورايلي ميديا ❝ ❞ Chapman and Hall/CRC ❝ ❱

نبذة عن الكتاب:

Garrett هو مؤلف كتاب التدريب العملي على البرمجة مع R ومؤلف مشارك لكتاب R for Data Science و R Markdown: الدليل النهائي. وهو عالم بيانات في RStudio وحاصل على درجة الدكتوراه. في الإحصاء ، لكنه متخصص في التدريس. لقد علم الناس كيفية استخدام R في أكثر من 50 وكالة حكومية ، وشركات صغيرة ، وشركات عالمية بمليارات الدولارات ؛ وقد صمم مواد تدريب RStudio لـ R و Shiny و R Markdown والمزيد. كتب Garrett حزمة lubridate الشهيرة للتواريخ والأوقات في R وقام بإنشاء أوراق الغش RStudio.

 

Garrett is the author of Hands-On Programming with R and co-author 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 multi-billion 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 cheatsheets.

 

Garrett maintains shiny.rstudio.com, the development center for the Shiny R package, and is the author of Hands-On Programming with R as well as R for Data Science, a forthcoming book by O'Reilly Media (watch him write it at http://r4ds.had.co.nz/). Garrett is a Data Scientist and Professional Educator at RStudio, Inc. In his own words: I specialize in teaching people how to use R - and especially Hadley Wickham's R packages - to do insightful, reliable data science. Hadley was my dissertation advisor at Rice University, where I gained a first-hand understanding of his R libraries. While at Rice, I taught (and helped developed) the courses "Statistics 405: Introduction to Data Analysis," and "Visualization in R with ggplot2". Before that, I taught introductory statistics as a Teaching Fellow at Harvard University. I'm very passionate about helping people analyze data better. I have travelled as far as New Zealand, where R was born, to learn new ways to teach data science. I worked alongside some of the original developers of R to hone my programming skills, and I collaborated with the New Zealand government in a nationwide project to improve how New Zealand teaches data analysis to new statisticians. Back in the states, I focused my doctoral research on developing pragmatic principles that guide data science. These principles create a foundation for learning R, which is a bit of a layer cake. R is a set of tools for implementing statistical methods, and statistical methods are themselves a set of tools for learning from data. Like all toolkits, R gives its best results to those who use it wisely. Outside of teaching, I have spent time doing clinical trials research, legal research, and financial analysis. I also develop R software. I co-authored the `lubridate` R package, which provides methods to parse, manipulate, and do arithmetic with date-times, and I wrote the `ggsubplot` package, which extends `ggplot2`. I'm also the Editor-in-chief of RStudio's Shiny Development Center (shiny.rstudio.com), the official resource for learning to use the shiny package to make interactive web apps with R.