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

When “data scientist” was coined in the 1960s, the role focused on pattern recognition to extract insights from data. Today, the amount of data has grown so substantially that we developed more ...

Data Science is a structured approach to extracting valuable insights from data, and it involves several key stages to ensure success. Let's explore each phase in detail: By following this structured ...

The University of Connecticut always allowed flexibility in creating new, unique majors, but the immense student demand for one in particular—data science—came as a surprise. “It was almost getting ...

Environmental data scientists use computing and mathematics to develop sustainable solutions for environmental problems. Environmental data scientists balance and combine expertise from multiple ...

WEST LAFAYETTE, Ind. — Data scientists who can make sense of today’s epic floods of data to generate actionable insights and communicate them to a variety of audiences are in demand in almost any ...

A poll of attendees of the largest gathering of statisticians and data scientists in North America reveals a near-unanimous belief that “big data” analytics needs improvement. Conducted by Revolution ...

Forbes contributors publish independent expert analyses and insights. Gil Press writes about technology, entrepreneurs and innovation. The just-released 2021 edition of Burtch Works survey of data ...

The convergence of data science, artificial intelligence (AI), and the life sciences constitute an emerging area of research that holds great promise for advancing scientific knowledge to improve ...

Founder, chairman, and CEO of Altair (Nasdaq: ALTR) a global technology company that provides solutions in simulation, HPC, and AI. I recently came across two sets of figures that struck me as ...

Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects. What is ...

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, ...