Welcome to the thirty fourth ever issue of Monday Morning Data Science from the Fred Hutch Data Science Laboratory. We are excited to show you what we have been working on (Fresh from the Lab), plus links that we think you would be interested in (Our Weekly Bookmarks Bar). Part of the purpose of this newsletter is to start conversations, so if you have a question or there is something you would like to share with us please let us know by responding directly to this email.
Our Weekly Bookmarks Bar
This week’s Bookmarks Bar is a special edition: the following links are some of our favorite free online learning resources for jump-starting folks who want to break into data science this summer.
Python Learning Track:
[Beginner Level: Think Python 2e] by Allen Downey. Also check out the rest of the Think series of books.
[Get Interactive: Pandas Tutor] by Sam Lau and Philip Guo.
R Learning Track
[Beginner Level: R for Data Science 2e] by Hadley Wickham, Mine Çetinkaya-Rundel, and Garrett Grolemund.
[Beginner Level: R Programming for Data Science] by Roger Peng.
[Get Interactive: Tidy Data Tutor] by Sean Kross and Philip Guo.
[Level Up: An Introduction to Statistical Learning] by Gareth James, Daniela Witten, Trevor Hastie, and Rob Tibshirani.
As always you can contact us by replying directly to this email, you can email Jeff Leek, Amy Paguirigan, and Sean Kross at data@fredhutch.org, or you are welcome to join us on the Fred Hutch Data Slack Workspace. For more information about the Fred Hutch Data Science Lab, visit our website: https://hutchdatascience.org/. See you next week!
- The Fred Hutch Data Science Laboratory