Data analytics is the science of analyzing raw data to make conclusions about that information. It helps businesses perform more efficiently and maximize profit.

The core of the Python data model architecture is the special methods (also known as 'magic methods'). These methods, which ...

Predictive analytics is the use of statistics and modeling techniques to determine future performance based on current and historical data.

Predictive analytics draws its power from many methods and technologies, including big data, data mining, statistical modeling, ML, and assorted mathematical processes.

Taught by Expert Faculty Our faculty have deep expertise in data analytics, and use state-of-the-art analytics models in their academic research. Many consult with top technology companies and are ...

Understanding the uncertainty principle will help us implement better data analytics solutions, particularly in the realms of measurement, sampling, and modeling.

Willamette's MBA concentration in management science and quantitative methods (MSQM) covers a broad range of skills in information systems and mathematical models. These skills are especially ...

A new 3-D modeling and data-extraction technique is about to transform the field of X-ray crystallography, with potential benefits for both the pharmaceutical industry and structural biology.