Learning data science with John Oliver

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You know this guy, right? In case you don’t, he is John Oliver, an english comedian with a perspective on the modern world that can only be matched by his distinctive voice!

I saw the video below sometime ago. In it, John Oliver presents in his usual style what is wrong with how science is used and presented. I won’t discuss the large amount of pet peeves I have with what I see on mainstream media or shared on Facebook regarding science or the lack of it. It would be out of context, too long and, to be intellectually honest, incredibly boring especially after John’s tremendous piece.

Instead I want to invite to watch the video in case you haven’t and I’ll tell you why I believe his views are important in the context of data science also.  Continue reading

How to come up with the important business questions?

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Sometime ago I wrote a blog post on why questions are better than data. Zach Riegler from Upsight commented:

Very insightful post. Now for the most important questions – what is the best way to come up with the most important business questions to ask…?

This post is about that: the important questions. What they are and how to get them. It’s about the thought process and a sneak peak on how analysts, scientists and statisticians translate business questions to quantitative questions that can be answered with data.

Let’s go!  Continue reading

Planning Game Analytics from 0 to data science

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Game analytics can be very simple or go wide, far and deep. The trick is to define what it is that you will want on a given timeframe. The length of the timeframe depends on how sophisticated and complex are your objectives.

This post will go through the role that sophistication and complexity take in defining both your objectives and the analytics stack to support them. Continue reading