resources.qmd

---
title: "Tips"
---

Here are some of my favorite resources - a mixture of [books](#books), [tutorials](#tutorials), [blogs](#blogs), [podcasts and YouTube](#podcasts-and-youtube), and [software](#software).

I'll do my best to keep this updated but it will almost certainly be out of date by the time you read it. If you have any suggestions for resources I should add, please let me know.

## Books

Here are some of my favorite books

- [The Design of Everyday Things](https://www.goodreads.com/book/show/840.The_Design_of_Everyday_Things), Donald A. Norman
    - As applicable to programming as it is to the design of doors
- [The First 90 Days](https://www.goodreads.com/book/show/15824358-the-first-90-days?ref=nav_sb_ss_1_17), Michael D. Watkins
    - A great resource for anyone starting a new job - recommended by [Lura Long](https://www.linkedin.com/in/luralong/)
- [The Checklist Manifesto](), Atul Gawande
    - Gawande is one of my favorite writers at the intersection of science and medicine.
- [How big things get done](https://www.goodreads.com/en/book/show/61327449), Bent Flyvbjerg, Dan Gardner
    - Should be required reading for anyone working on projects with teams - recommended by [Nicole Mirea](https://www.linkedin.com/in/nimirea/)
- [R for Data Science](https://r4ds.had.co.nz/), Hadley Wickham, Garrett Grolemund
    - A great resource for learning R
- [Writing R Packages](https://r-pkgs.org/), Hadley Wickham
    - The bible of R package development

## Tutorials

Here are some of my favorite online tutorials and guides

- [Survival Analysis in R](https://www.emilyzabor.com/tutorials/survival_analysis_in_r_tutorial.html), [Emily Zabor](https://www.linkedin.com/in/emily-zabor-59b902b7/)
    - A great introduction to survival analysis in R (by a fellow Grinnellian!)

## Blogs

Here are some blogs I like by companies and people I admire

- [Danielle Navarro](https://blog.djnavarro.net/), Danielle Navarro is a cognitive scientist who writes about statistics and programming in R. 
- [Emily Riederer](https://www.emilyriederer.com/). Emily Riederer is a leading voice in modern data science across multiple languages and platforms.
- [Emily Zabor](https://www.emilyzabor.com/). Emily Zabor is an expert in epidemiology and public health who writes about data science and statistics in R

## Podcasts and YouTube

Here are some of my favorite podcasts and YouTube channels

- [Cautionary Tales by Tim Harford](https://timharford.com/articles/cautionarytales/) | [Wrong Tools Cost Lives](https://timharford.com/2021/05/cautionary-tales-wrong-tools-cost-lives/)|

## Software

Here are some of my favorite software tools

- [Notion](www.notion.so). I use Notion for everything from project management to personal notes 
- [RStudio](https://posit.co/downloads/). My favorite IDE for data science development
- [GitHub Copilot](https://copilot.github.com/). Copilot is spectatular, especially using the [RStudio Copilot Plugin](https://docs.posit.co/ide/user/ide/guide/tools/copilot.html)
- [Quarto](https://quarto.org/). The successor to my beloved RMarkdown which powers just about every document I create (including this website).