Mar 29, 2026  
Academic Catalog 2025-2026 
  
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Academic Catalog 2025-2026
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QM 504 - Principles of Data Analytics

This course provides an overview of the knowledge that students gain successfully completing the data analytics curriculum. Each weekly session materials presented focuses on one aspect of the principles of data analytics. The course acts as a roadmap with respect to an overview of the data analytic skill sets students need to develop.

Credit(s): 3

Prerequisite(s):
QM 520  or QM 501  or QM 301 .

Outcomes
  • Describe data, Big Data, Data Analytics Lifecycle.
  • Identify and discuss the key skill sets needed in the data analytics field.
  • Evaluate data using statistical analysis techniques.
  • Apply data visualization techniques to communicate data analytics findings.
  • Incorporate data mining methods to convert raw data into actionable data driven decisions.
  • Transform analysis results into actionable intelligence and business decisions.
  • Discuss the APA and ASA ethical issues considering research and data analytics.
  • Discuss application of modern technology considering database management systems, machine learning, and artificial intelligence.
  • Discuss the role of programming in data analytics.


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