Data Science Training in Communities with Limited Technology Resources
summary
A community-run DataTrail program trains Baltimore youth on Chromebooks using R and RStudio Cloud, runs a 12-course sequence in ~16 weeks, pays students as they complete lessons, and pairs graduates with paid, 10-hour/week internships supported by Urban Alliance. The pilot posts an 80% completion rate (MOOC norm 2–5%), produced work credited in an HBO documentary, and scales to New York with Posit-funded interns. Major hurdles: HR rules, life‑support services, and rebuilds when packages like dplyr change course content.
AI-written summary · about
chapters (13)
- 0:00DataTrail introduction
- 3:12DataTrail core team
- 6:20Talent vs opportunity
- 10:17Scaling data science globally
- 12:25Breaking barriers to access
- 14:12Why R for inclusive training
- 17:01Building pilot program
- 23:03Hard work worth doing
- 26:06Graduate impact and trust
- 33:11Future of DataTrail
- 36:01Start your DataTrail program
- 37:50Hiring DataTrail grads
- 41:29Q&A
related talks
17mTeaching Data Science in Adverse Circumstances: Posit Cloud and Quarto to the Rescue
02mBuilding data science capacity in your org
19mEmpowering Learners with WebR, Pyodide, and Quarto
38mUsing Data to Empower Youth Program Participants at Changeist
24mData science, apps and civic responsibility
18mHow Data Science Can Unlock Teaching & Learning at Scale
13mMobile Education App during COVID | Teaching Data Science
42mDevelopment of Data Science Ecosystem for Ruby