Opinions expressed by Digital Journal contributors are their own. In the relentless quest for business supremacy, the real trailblazers unleash the full might of advanced analytics and statistical ...

Meghan Gallagher is a Seattle-based freelance content writer and strategist. She has a B.S. in Marketing Management and a background in digital marketing for healthcare, nonprofit, and higher ...

Business analytics is the not-so-secret sauce that helps businesses be successful. Business analytics can be used by companies in any industry to transform data into insights that help them solve ...

Data is powerful, and professionals who know how to maximize it are in demand. At Michigan Tech, our business analytics students become experts who understand how to analyze and optimize both ...

Students are required to complete a total of 30 credits to complete the MS in Marketing Analytics and Insights degree. View the suggested course sequence for a 1-year full-time student. The purpose of ...

This course provides a practical introduction to linear algebra with a focus on its applications in data science and machine learning. Students will learn essential matrix operations, vector spaces, ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

What are the different types of predictive modeling? Your email has been sent Predictive modeling is a type of data mining that is used in a variety of situations and industries. This process involves ...

In today's data-driven world, businesses depend on the ability to transform raw data into meaningful insights. Business analytics is the process that enables organizations to make informed decisions, ...

The STEM-designated MS in Business Analytics program is designed for students who have an interest in quantitative methods, data analysis, and using computer programs to solve business problems.