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May 25, 2026
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BUS 3010 - Business Analytics3 lecture hours 0 lab hours 3 credits
Course Description
This course introduces the field of business analytics including using analysis to support data driven decision making to improve business performance. Through the application of a standard analysis process, students will gain hands-on experience applying statistical and visualization techniques along with exploratory and predictive analytic models to business case studies. Through case studies, students will identify, apply, and interpret appropriate analytic modeling techniques.
Prereq: None
Note: None
This course meets the following Raider Core CLO Requirement: None
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Identify data sources and acquisition, evaluation, and preparation methods for analytic processing
- Define the four types of data analytics
- Identify and describe the stages of the data analytics lifecycle
- Apply statistical, visualization, and quantitative analysis techniques and tools to a project related to the student’s business major
- Identify types of decision-making scenarios and the analytic techniques and tools available to support them for
- Evaluate data mining algorithms and AI tools, and effectively apply them to a given business scenario
Prerequisites by Topic
Course Topics
- Properties of data
- Analytic methods
- Data analytics life cycle
- Data preparation and cleaning
- Statistical methods and visualization
- Market-basket analysis
- Linear and logistic regression
- Major applied analytics project
- Cluster analysis
- Naïve Bayes analysis
- Decision tree analysis
- Artificial intelligence in analytics
Coordinator
Dr. David Rollins
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