When ever the word data science pops up people generally become quick to move to machine learning. Is that the right thing? For a data scientist isn't the handling of data (collection, pre-processing, visualization, etc.,) more important?
I am aware of the thread What is valued more in the data science job market, statistical analysis or data processing?, but the answers really didn't help me and the job market has changed since then!