# Other resourcesHere you can find a selection of other resources for learning stastistics and programming. ## Statistics ### YouTube channels- [StatQuest with Josh Starmer](https://www.youtube.com/@statquest)- [Very Normal](https://www.youtube.com/@very-normal)- [Zedstastitics](https://www.youtube.com/@zedstatistics)### E-books- [Process Improvement Using Data](https://learnche.org/pid/contents)- [Statistical Thinking for the 21st Century](https://statsthinking21.github.io/statsthinking21-core-site/index.html)- [ANOVA and Mixed Models](https://people.math.ethz.ch/~meier/teaching/anova/)## Learning R### Websites- [The R Graph Gallery](https://r-graph-gallery.com/)- [Statistical tools for high-throughput data analysis](https://www.sthda.com/english/)### Cheat sheets- [RStudio IDE](https://rstudio.github.io/cheatsheets/html/rstudio-ide.html)- [Data visualization with ggplot2](https://rstudio.github.io/cheatsheets/html/data-visualization.html)- [Data import with the tidyverse](https://rstudio.github.io/cheatsheets/html/data-import.html)- [Data transformation with dplyr](https://rstudio.github.io/cheatsheets/html/data-transformation.html)- [Data tidying with tidyr](https://rstudio.github.io/cheatsheets/html/tidyr.html)- [rmarkdown ](https://rstudio.github.io/cheatsheets/html/rmarkdown.html)### E-books- [R for Data Science](https://r4ds.hadley.nz/)- [R Graphics Cookbook](https://r-graphics.org/)