Training & Collaboration
Training Catalog
There are a number of Biomedical Data Science training opportunities that are available to the Yale community. All Yale credit courses can be found at https://courses.yale.edu/
Download Our Targeted Courses Spreadsheet
We have assembled a useful Spreadsheet of Yale Non-Credit Course, Yale Credited Courses, and Non-Yale Courses.
A list of recommendations on the best places to learn R:
- The “swirl” package. You run it from RStudio directly like you would any other package with install.packages(“swirl”). The benefit here is you get tutorials on R directly from within RStudio. This is how I learned R and I found it to be incredibly helpful. Here is the package link: https://swirlstats.com/students.html
- Coursera course is good as well: https://www.coursera.org/learn/r-programming
- This article also has some good links to useful R-related books and websites (including ggplot2): https://towardsdatascience.com/the-ultimate-r-guide-for-data-science-7d4b6112822a
- All of Hadley Wickham's books:
- ggplot2: Elegant Graphics for Data Analysis - https://ggplot2-book.org/
- R for data science - https://r4ds.had.co.nz (related workshop from rstudio::conf(2019): https://github.com/AmeliaMN/data-science-in-tidyverse
- Advanced R - https://adv-r.hadley.nz (solutions: https://github.com/Tazinho/Advanced-R-Solutions
- And also rstudio::conf materials on github: https://github.com/rstudio/rstudio-conf
- RStudio Education https://education.rstudio.com/learn/
- Software Carpentry
- Tidy Tuesday from R4DS
- Jeff Leek's courses:
- R for Data Science
Introduction to Biomedical Data Science and Health Informatics (June 8-12)
Looking for Research Collaboration?
Training Calendars
Below are links to various Yale University training resources for Beginners.