
The 3 C’s & Why The 10k Hour Rule is Wrong
We are in the era of big data, and being a data scientist is supposed to be the ‘sexiest job of the 21st century’. What makes somebody good at analysing data? How should we treat context, correlation and causation? And how did data science get it so wrong with the 10k hour rule?