In today's modern business environment, data is the foundation of efficient business operations. Organizations generate and collect large amounts of information from various sources such as social ...

Data rarely comes in usable form. Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out. Novice data scientists sometimes have ...

Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. A 2013 article in the New York Times said that 2012 was the ...

As statistics continues to play an ever more important role in society, equal access to data resources in developing countries is becoming more essential. Yet the ability to collect good data, the ...

The last decade has seen an explosion of data generation from individuals, businesses and institutions worldwide. As these organizations increasingly rely on data-driven decision-making, the demand ...

As more companies rush to become data-driven in business, Big Data continues to play a pivotal role. The need for workers capable of collecting, analyzing, and visualizing large amounts of information ...

The Engineering Science MS with a course focus in Data Science offers students a comprehensive education in big data and analysis. Students gain knowledge, expertise, and practical training in various ...

The Computational and Data Enabled Sciences PhD addresses pressing research challenges across various fields, such as materials modeling and design, natural disasters, smart electric grids, and ...

Many research reports on data usage echo the same message: Around 85% of analytics, big data, and AI projects will fail, despite massive investments of money. At Data Summit Connect 2021, Brian ...