Statistics Lie (part one): Flaw of Averages…or why it takes slightly longer to get your Uber

Statistics Lie (part one): Flaw of Averages…or why it takes slightly longer to get your Uber

  The flaw of averages   Most people have heard of the law of averages, but what about the flaw of averages?  I would argue that understanding the flaw of averages is at least as important, especially if you don’t want to be fooled by bad analysis.   This is the first article in aRead more about Statistics Lie (part one): Flaw of Averages…or why it takes slightly longer to get your Uber[…]

I do not want to be a data scientist, should I still study machine learning?

I do not want to be a data scientist, should I still study machine learning?

Artificial intelligence (AI) and machine learning (ML) are often mentioned as things that will transform our world in the coming years. Lots of well meaning people implore young people to become data scientists. The advice to become a data scientist ignores the fact that not everyone can, or wants to, be a data scientist. ButRead more about I do not want to be a data scientist, should I still study machine learning?[…]

Which data skills do you actually need?  This 2×2 matrix will horribly mislead you…

Which data skills do you actually need? This 2×2 matrix will horribly mislead you…

Chris Littleton’s Harvard Business Review (HBR) article does not identify the skills you need to get into data science.  He lays out this 2×2 matrix of skills according to whether they are useful on one axis, and whether they are time consuming to acquire on the other. This type of matrix is interesting and aRead more about Which data skills do you actually need? This 2×2 matrix will horribly mislead you…[…]