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The data science workflow
The data science workflow involves more than just fitting models. The problem needs to be appropriately framed, a good amount of effort needs to be spent on obtaining and preparing the data, and even after the modelling solution has been developed, there is still a piece of work around deploying and making the solution ready for use.
Taking a closer look at data skillsets
We recently published a post including our take on the Data Scientist Development Pathway. And while that post did highlight various skills over a range of data analytics roles, we thought it would be worth making some more specific call-outs on the types of tools, language, technique and methods data analytics professionals commonly leverage.
What is a Citizen Data Scientist?
You don't need to be a Data Scientist or have Data Scientists in your organization to start leveraging advanced analytics. In-fact, Gartner has even gone as far as defining the role of a 'Citizen Data Scientist', but what does that mean exactly?