AI-ready data is data that’s organized and structured to be used in artificial intelligence (AI) applications. It’s more than just having a large amount of data; it’s about having high ...

However, conducting comprehensive research via traditional methods like in-person focus groups, large-scale surveys, manual data analysis and outdated analyst reports can be slow, labor-intensive ...

The Center for Data Analysis specializes in quantitative research and simulation modeling of public policies for the Heritage Foundation. The CDA specializes in modeling the effects of federal ...

Data Labs also explores the limitations of these data and methods and works toward establishing standards for use and analysis. The Data Labs project both produces its own reports and collaborates ...

Increasingly, corporations and governments are collecting, analyzing, and sharing detailed information about individuals over long periods of time. Vast quantities of data from new sources and novel ...

Data Science Research at the College of Computing & Informatics (CCI) at Drexel University explores very large data sources including selection of data and evaluation of information quality, and ...

Combining Quantitative Skills and Qualitative Research. Combining quantitative and qualitative data analysis can give students of science, technology, engineering and mathematics, also known as STEM, ...

A practical approach to data mining with large volumes of complex data; prepare, cleanse and explore data; supervised and unsupervised modelling with association rules and market basket analysis, ...

Text analysis; grouping data into meaningful themes or categories: Statistical analysis: ... Qualitative analysis can be applied to a wide range of research topics or practical settings.