Reckless Commitment

Reckless Commitment

  1. Find a (data related) question you truly care of.
  2. Formulate a reckless commitment based on this question and make sure to hold yourself accountable – some audience helps.
  3. Network
    1. Find (a) mentor(s) who supports you in structuring your learning process (based on 1).
    2. Talk to people who can help you getting some additional insight regarding your initial question (increase your domain knowledge).
  4. Start with a pragmatic first step (low complexity, hands-on).
  5. Select relevant data.
  6. Build up an easy but scalable (tool) setup you feel comfortable with. (If you don’t know how to, research, ask your network)
  7. Prepare your data  – be prepared that this part will require the majority of your time. (If you don’t know how to, research, ask your network)
  8. Build/train/test your model. (If you don’t know how to, research, ask your network)
  9. Discuss the results with your network. (If you don’t know how to, research, ask your network)
  10. Iterate fast (steps 4,5,7,8,9)
  11. Publish your learnings and take people on your journey.

Improve your skills on the job but take care to have a proper setup (cornerstones) from the very beginning on. (If you don’t know how to, research, ask your network)

If you have some spare time (e.g. on your way to work) there are lots of great podcasts for inspiration and getting a more holistic view on Data Science (and Data Engineering).

By: Klaus Werdenich – Head of Data Warehouse @ Marc O’ Polo

 

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