How R and Posit are revolutionizing Stats Education in Community Colleges
summary
Great Bay Community College builds a Practical Data Science certificate and posts course materials on GitHub while claiming R reduces repetitive spreadsheet work and enables finite math (matrices) and introductory stats labs; RStudio Cloud runs the semester-long Elements of Data Science course where it takes three weeks to get students coding, and nationally there are over 1,000 community colleges but under 20 programs labeled data science despite 36% of undergraduates attending two-year schools; StatPREP and Shiny apps are used for instructor training.
AI-written summary · about
chapters (12)
- 0:00Welcome
- 1:54Community colleges in stats education
- 4:57Student challenges and pathways
- 6:47Excel to R transition
- 8:56RStudio Cloud in intro data science
- 10:05Traditional teaching limitations
- 11:54Tech integration in math curriculum
- 13:02R vs calculators
- 14:32Spreadsheets to R programming
- 15:41Shiny apps impact
- 16:47StatPREP and ASA resources
- 19:39Call to action
related talks
17mTeaching data visualization with R entirely in Quarto
24mBuilding an AI-Powered Learning Platform Using AI
22mWhen statistics become stories
20mReport Design in R: Small Tweaks that Make a Big Difference
43mWhat data and design can learn from each other
20mDemocratizing Organizational Surveys with Quarto and Shiny
22mUser Experience (UX) + Free Software = ❤
28mCrafting Hyper-Relevant User Experiences