~/talk

Data Science Education in 2022

Talkat rstudio::conf 2019 · 2019-01-15..01-18· [data-science]
links:none on file
slides:none on file

Conference data shows 48% self-taught learners and a workshop program that runs 19 sessions with ~100 certified instructors teaching about 1,300 students this week. Claims include a data explosion where 90% of data is created in the last two years and computing growth (~4.5× in five years) far lags data growth (~46×), plus irreproducibility rates like 6/53 and 36/100 and an estimated US biomedical cost of $28 billion. Recommendations: teach statistics and sampling on messy real data, publish reproducible R Markdown workflows, curate shared datasets, and train domain experts to tell authoritative data stories.

AI-written summary · about

  1. 0:00Introduction
  2. 1:28Studio's mission and goals
  3. 2:51Current initiatives and challenges
  4. 3:53Self-taught growth
  5. 4:37Challenge: data explosion
  6. 6:24Challenge: irreproducible results
  7. 10:02Challenge: fake data and misinformation
  8. 13:28Solutions for education
  9. 15:31Democratizing via storytelling
  10. 17:39Q&A
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