KickstarterJeremy SalfenTutorial
Always Be Learning
Summary
Kickstarter’s Data team describes how pair learning fits into its broader “always be learning” culture, alongside monthly reading groups open to all employees. Two team members worked through Hadley Wickham’s Advanced R by reading one chapter every two weeks, then meeting for an hour and a half to discuss the material and complete exercises. They found that a steady pace, applying concepts to Kickstarter data, explaining ideas aloud, and documenting lessons in an internal R guide supported sustained learning; the guide includes a demonstration of R’s lazy evaluation. The pair considered the format easier to schedule and harder to neglect than larger groups, while acknowledging fewer perspectives and inclusion challenges, and concluded that it strengthened job-related skills and intellectual curiosity.
Context
The Data team wanted to incorporate continual learning into its routines and gain a deeper understanding of R after both participants had already programmed in the language for some time. The post also addresses how pair learning compares with larger study groups.
Approach / What changed
Two people read one chapter of Advanced R independently every two weeks, then met for 90 minutes to discuss it and work through exercises. They applied concepts to Kickstarter data, recorded useful lessons in an internal R guide, and accepted a lighter exercise workload as a tradeoff for keeping the process manageable.
Takeaways
A two-week chapter pace made it easier for the pair to stay engaged and finish the book, although spending more time on exercises might have produced deeper absorption.
Applying textbook concepts to Kickstarter data made the underlying ideas easier for the participants to understand than relying only on toy examples.
Pair learning simplified scheduling and accountability, but provided fewer perspectives and made it harder to include additional people who wanted to join.
Source and freshness
- Source
- medium.com
- Published
- Added to Yomu
- Last updated
Summaries are generated from the original by a language model. Check the original before relying on it.
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