Plumbers of Data Science

A podcast by Andreas Kretz

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94 Episodes

  1. Swish Swedens Awesome Fintech

    Published: 22/01/2018
  2. Data Science Office Hours

    Published: 18/01/2018
  3. Gartner's Hype Cycle Explained

    Published: 15/01/2018
  4. How to Show That ML and AI Works

    Published: 12/01/2018
  5. Analytics on Edge Devices

    Published: 11/01/2018
  6. BigData and Catastrophic Success

    Published: 8/01/2018
  7. Machine Learning In Production

    Published: 6/01/2018
  8. Data Science VS Big Data

    Published: 3/01/2018
  9. Agriculture snd DS DailyKayy 004

    Published: 3/01/2018
  10. DS Preventing Insurance Fraud

    Published: 15/12/2017
  11. How Data Transforms Healthcare

    Published: 12/12/2017
  12. Learn Data Science Go Docker!

    Published: 7/12/2017
  13. Measure Everything!

    Published: 6/12/2017
  14. Prime Video, Tesla and Comma.ai

    Published: 29/11/2017

5 / 5

Data Engineering is the plumbing of data science. Almost invisible, but super important and a big mess when done wrong. We talk about interesting Data Engineering trends and topics. I also train Data Engineering in my Data Engineering Academy at LearnDataEngineering.com

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