393: The Importance of Keeping Science in Data Science - podcast episode cover

393: The Importance of Keeping Science in Data Science

Aug 19, 20201 hr 8 min
--:--
--:--
Download Metacast podcast app
Listen to this episode in Metacast mobile app
Don't just listen to podcasts. Learn from them with transcripts, summaries, and chapters for every episode. Skim, search, and bookmark insights. Learn more

Episode description

John Peach joins to discuss his passion for bringing more scientific approaches to the data science field, making it smarter and more efficient.


In this episode you will learn:

  • John’s move from Canada to the US [3:37]
  • John’s new position at Oracle [8:31]
  • Data Science Workflows [9:34]
  • John’s solution to data science workflow exploration [12:06]
  • John’s data science design thinking framework [21:20]
  • Case study [34:21]
  • Literate statistical programming [43:12]
  • R or Python? [51:55]
  • Data unit testing [53:28]
  • What drives John? [1:00:56]


Additional materials: www.superdatascience.com/393

For the best experience, listen in Metacast app for iOS or Android