Tips

Here are some of my favorite resources - a mixture of books, tutorials, blogs, podcasts and YouTube, and 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I’ll do my best to keep this updated but it will almost certainly be out of date by the time you read it.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

Tutorials

Here are some of my favorite online tutorials and guides

Blogs

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

  • Danielle Navarro, Danielle Navarro is a cognitive scientist who writes about statistics and programming in R.
  • Emily Riederer. Emily Riederer is a leading voice in modern data science across multiple languages and platforms.
  • Emily Zabor. 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

Software

Here are some of my favorite software tools

  • Notion. I use Notion for everything from project management to personal notes
  • RStudio. My favorite IDE for data science development
  • GitHub Copilot. Copilot is spectatular, especially using the RStudio Copilot Plugin
  • Quarto. The successor to my beloved RMarkdown which powers just about every document I create (including this website).