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 ...

As AI systems become more a part of our daily lives, the demand for people skilled in working with and building these systems will keep growing. In the past, data scientists were essential for ...

If you are an aspiring data scientist, you may have come across the terms artificial intelligence (AI), machine learning, deep learning and neural networks. Although these may appear to be futuristic ...

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 ...

When reviewing job growth and salary information, it’s important to remember that actual numbers can vary due to many different factors—like years of experience in the role, industry of employment, ...

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, ...

GenAI is undoubtedly changing how data scientists and analysts work, including tools, processes, and deliverables. Here’s what data scientists can do now to prepare. Until recently, data scientists ...

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 ...