Running a polyglot data science community
summary
Statistics Canada runs an R and Python user group with ~1,300 members, a ~50-person open committee, nine volunteer office hours, monthly hybrid meetings and low-stakes code challenges; code and docs live on GitLab (no data included), Teams handles day-to-day help, and topics include Parquet, internal R/Python packages and open source updates. Community-created RPUG pirate pug logo has 30+ variants and merch, and the site had 33 contributors, ~2,000 commits in 4 months, showing active, reproducible, polyglot operations.
AI-written summary · about
chapters (10)
- 0:00Introduction
- 1:08Polyglot communities in data science
- 2:55Building a polyglot community
- 5:23Group identity and branding
- 7:35Inclusive learning spaces
- 9:22Fun events for connections
- 11:13Member leadership involvement
- 13:27Structure versus grassroots
- 14:53Polyglot communities thrive
- 16:41Q&A
related talks
01h 04mLightning Talks
11mHow the R for Data Science (R4DS) Online Learning Community Made Me a Better Student
18mLevel up! Empowering industry R users with different levels of experience
14mDigging a Pit of Success for Your Organization
20mModernizing the Data Science Toolkit of a 40-year-old Market Research Company
15mAchieving a seamless workflow between R, Python and SAS from within RStudio
37mMore lightning talks!
24mLet's play together: Collaborative Data Science