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Watching an interesting video on data science trends by a Google data scientist who recommended this data set as good practice, I recorded a video that documents my process working on it from start to finish with the aim of getting a quick, initial understanding of the data as a basis for more comprehensive tasks (report design, advanced analytics, forecasting etc.) following that.

As opposed to a prepared training exercise I have left all real life, unforeseen challenges and how I deal with them in there. The process includes:

  • Data preparation
  • Cleansing
  • Clustering
  • Basic visualisations
  • Simple AI (Key Influencer visual)

I hope this helps other users but I  would also be very interested in comments what you would do differently or what steps you would add.

Here you go, this is the pretty much unedited footage of a 40 min session:

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