At this stage it’s important to follow the best practices in your discipline. Whether you are using your desktop, a computing cluster, or a Jupyter notebook on Google, you’ll need to have a plan for ...

Missing data present a perennial challenge in scientific research, potentially undermining the validity of conclusions if not addressed rigorously. The analysis of missing data encompasses a broad ...

Data drives smart decision-making in modern industries, but the old saying still holds true: “Garbage in, garbage out.” The quality and completeness of the data pulled for analysis play a huge role in ...

Institutional investors face complex decisions—where to allocate capital, which managers to trust, how to weather volatility. These choices can’t rely on instinct alone. They require data, structure, ...

Scientists learn about the brain's inner workings by studying what animals or people do, how they move, react, and make ...

The Investopedia original surveys, financial research, and data analysis hub The Investopedia team of analysts, editors, researchers, and writers seek to provide useful and accurate information to ...

Data-driven decision-making (DDDM) is just a fancy term for making intelligent decisions based on what your data is telling you. Modern market research combines DDDM with advanced technology to ...

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. (Related posts: 5 things to keep in mind when you hear about Gen Z, Millennials, ...

Shopify reports that businesses increasingly use AI to boost efficiency, personalize products, and enhance customer service ...

An AI scientist can work independently for hours while doing research that would take humans months to complete, and has made several “novel contributions” to science, its creators claim – but others ...

A new report from Springer Nature, in partnership with Overton, offers the most comprehensive picture yet of how academic ...