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01-recomendaciones.Rmd
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01-recomendaciones.Rmd
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# Recomendaciones
En esta sección te recomendaré una serie de libros y paginas web, para que de esta forma, expandas tus conocimientos de Programación, `R` y Estadística.
## Libros
* [Learn the tidyverse](https://www.tidyverse.org/learn/)
* [Mastering Software Development in R](https://leanpub.com/msdr)
## Páginas web
* [Documentación de R](https://www.rdocumentation.org/)
* [Traducción de R4DS: R para Ciencias de Datos](https://es.r4ds.hadley.nz/.)
* [Advanced R](https://adv-r.hadley.nz/)
* [R Packages](https://r-pkgs.org/)
* [Interactive web-based data visualization with R, plotly, and shiny](https://plotly-r.com/)
* [Do More with R](https://www.infoworld.com/article/3411819/do-more-with-r-video-tutorials.html)
* [TidyTuesday](https://github.com/rfordatascience/tidytuesday)
* [Julia Silge](https://juliasilge.com/)
* [R-Ladies Global](https://rladies.org/)
## Canales de Youtube
* [StatQuest with Josh Starmer](https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw)
* [RStudio](https://www.youtube.com/channel/UC3xfbCMLCw1Hh4dWop3XtHg)
* [Bruno Rodrigues](https://www.youtube.com/channel/UCTZXht1RTL2Duc3eU8MYGzQ)
* [LatinR](https://www.youtube.com/channel/UCt950nC6jlh2ELDRPigWOkg)
* [IDG TECHtalk](https://www.youtube.com/channel/UCyhpw4-Etc79Sq77Swre5KA)
## Aprendizaje interactivo
* [HackerRank](https://www.hackerrank.com/)
* [DataCamp](https://www.datacamp.com/)