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Dec 28, 2024
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QBA 1720 - Introduction to Information Analysis and Descriptive Analytics
The course introduces students to information analysis and descriptive analytics. Students critically analyze business problems and develop high-quality information designs that inform and support management decisions using software tools. Topics include the organization of data, central tendency and dispersion, estimation and hypothesis testing, simple and multiple linear regression analysis, and the use of Excel in statistical analysis. Students learn to choose the proper analysis and present the results using effective information designs.
Credit Hours: 3
Repeat/Retake Information: May be retaken two times excluding withdrawals, but only last course taken counts.
Lecture/Lab Hours: 3.0 lecture
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Learning Outcomes: - Students will be able to apply information design concepts to effectively and creatively solve business problems.
- Students will be able to explain, summarize, and apply descriptive statistics concepts, including central tendency and dispersion, and predictive analytics including linear regression.
- Students will be able to explain the importance of information design to effective, efficient, and truthful business communication.
- Students will be able to merge, sort, organize, and compute data from multiple sources to assist in decision-making.
- Students will be able to use software commonly used in business to conduct statistical analyses.
- Students will be able to correctly select and utilize data analysis techniques.
- Students will be able to use, analyze, and interpret various forms of data to make business decisions.
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