A guide to what data mining is, how it works, and why it's important. Big data is everywhere we look these days. Businesses are falling all over themselves to hire 'data scientists,' privacy advocates ...

Data mining tools collect and analyze data much faster than humans. Learn what data mining is, how it works, and how to use it effectively. Data mining is an important big data management strategy ...

Data mining is an analytical process designed to explore and analyze large data sets to discover meaningful patterns, correlations and insights. It involves using sophisticated data analysis tools to ...

The second step in data mining process is the application of various modeling techniques. These are used to calibrate the parameters to optimal values. Techniques employed largely depend on analytic ...

Data mining isn’t just techno-speak for messing around with a lot of data. Data mining doesn’t give you supernatural powers, either. Data mining is a specific way to use specific kinds of math. It’s ...

Predictive analytics enables you to develop mathematical models to help you better understand the variables driving success. Predictive analytics relies on formulas that compare past successes and ...

Data mining is the automated process of sorting through huge data sets to identify trends and patterns and establish relationships. Organizations today are gathering ever-growing volumes of ...

In 2020, people as a whole generated 2.5 quintillion data bytes every day. While not all of those are collected by businesses, a large portion of them are, leaving an insane amount of data that ...

*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

The exponentially increasing amounts of data being generated each year make getting useful information from that data more and more critical. The information frequently is stored in a data warehouse, ...