In the age of big data and analytics, it is important that students learn about artificial
intelligence (AI) and machine learning (ML). Machine learning is a discipline that focuses on …

Data Mining (DM) is one of the most offered courses in data analytics education. However,
the design and delivery of DM courses present a number of challenges and issues that stem …

In an effort to expand data analytics instruction, universities have launched data analytics
majors and graduate programs in data analytics. While this effort meets the need for …

This article describes the design and delivery of an online Python-based undergraduate
data mining course by applying the Quality MattersTM standards. Student evaluations show …

Business Communication Research and Practice Home Journal Info About the Journal Aims
and Scope Editorial Board Subscription Information Copyright & Open Access Crossmark Policy …

Veri madenciliği mevcut verileri analiz etmede, ilişkileri çıkarmada ve eldeki verilerden
anlamlı bilgiler ortaya çıkarmada kullanılan bir tekniktir. Veri madenciliği sayesinde elle …

For a number of years data analytics has been showing a tremendous growth and
proliferation in multiple fields and organizations. According to the Dresner Advisory …

This paper presents a way to introduce data science to college (business) students. To this
end, data mining using neural networks may be practiced. After briefly clarifying the main …

This paper proposes an approach which business analytics instructors can utilize in order to
incorporate advanced exploratory data analysis (EDA) tools into an MBA analytics course …