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Fall 2023
May 09, 2025
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BA 305 - Introduction to Business Analytics
Introduction to data-driven business management analytics. Provides the business rationale for leveraging analytics to improve organizational performance and the challenges businesses face on analytics. Introduces the basis of data science and business analytics for handling massive databases. Covers concepts such as ethical use of data, data mining, data management, the use of key performance indicators, dashboards and scorecards for performance management, text and web mining, and big data analytics. Prerequisite or parallel: ECON 221 or MATH 181 or MATH 221 or MATH 320 or MATH 321 or PSYS 241 or SOC 382 or equivalent or permission of the department chairperson.
3.000 Credit hours
3.000 Lecture hours

Levels: Undergraduate
Schedule Types: Lecture, Online (Asynchronous), Study Abroad

Info Systems/Operatns Mangmt Department

Restrictions:
Must be enrolled in one of the following Levels:     
      Undergraduate
      Graduate

Prerequisites:
Undergraduate level ECON 221 Minimum Grade of D- or Undergraduate level MATH 181 Minimum Grade of D- or Undergraduate level MATH 221 Minimum Grade of D- or Undergraduate level MATH 320 Minimum Grade of D- or Undergraduate level MATH 321 Minimum Grade of D- or Undergraduate level PSYS 241 Minimum Grade of D- or Undergraduate level SOC 382 Minimum Grade of D-

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