Data science aims to explore large amounts of structured and unstructured data sets – ‘big data’ – to design models and algorithms which can predict trends and guide decision-making. This field ...

In this special guest feature, Kumaran Ponnambalam of Transera provides his views on the distinction between traditional data analysts and the newer designation of data scientist. Kumaran is Director ...

Forbes contributors publish independent expert analyses and insights. I write about the decision intelligence revolution. Twenty years ago, there was a great reckoning in the market research industry.

Data scientists are in such high demand that the role has been described by Harvard Business Review as "the sexiest job of the twenty-first century." In an age of artificial intelligence (AI) and ...

Overview:  Cleaning, sorting, building basic models, and manual reports are being handled in the background. The future role ...

What’s the difference between a data scientist and a data engineer? Quick access to the data-driven insights keeps the world’s best companies at the top of their game. But that data doesn’t just ...

Modern data science emerged in tech, from optimizing Google search rankings and LinkedIn recommendations to influencing the headlines Buzzfeed editors run. But it’s poised to transform all sectors, ...

Garrett Andrews is an adjunct faculty member in the Department of Political Science at Portland Community College where he teaches State and Local Government. With five years of experience as a writer ...

Do data scientists really spend 80% of their time wrangling data? Yes and no. The implication is clear: if this stat is accurate, then the burden of provisioning data for their models impedes data ...