Applied Data Science with Edwin Chen

“A lot of data science teams – if you ask them what their ten most important questions are… a lot of people can’t even come up with those.”

Many companies find themselves drowning in data. The quantity of data matters far less than the right questions in the pursuit of actionable insights.

Edwin Chen is a data scientist and blogger. He previously led data science teams at Dropbox and Google.

Questions

  • How would you use Twitter data to find out whether people eat McDonald’s when they are sad?
  • Why are you building a mechanical turk-like platform?
  • Peter Thiel has a saying “big data is often dumb data.” What does he mean by that?
  • How do you know when you’re collecting too much data?
  • How should Dropbox use data more aggressively to plan product strategy?

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