The problem of data science MOOCs


Massive Open Online Courses are a big thing now. I’m a great fan of them to be honest. They allow for knowledge to be shared, many times knowledge that would only be spread on a specific context. A university, country, industry, company, is now made available to the world, many times freely.

And that is a good thing.

It shouldn’t be a surprise that if one of the hot areas of the moment is data and being data fundamentally a technological area that it is a good fit for MOOCs. However there is a problem. So, have you been doing or thinking about doing massive open online courses on subjects like data analysis, data science or machine learning? Grab the popcorns and I’ll rant a bit. Continue reading

Data 101


I’m starting this category “All things data” to write posts about data for the sake of data. Some of them are simple but play a big role, like this one. Others are complex. There will be a twist, though. The examples I’ll show will be in the context of games analytics. There will be no Iris dataset to fit a logistic regression. If you are smiling you know what I’m talking about. If you are not, don’t worry, we’ll get to that. Continue reading