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Apr 26, 2024
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2019-2020 Undergraduate Catalog [ARCHIVED CATALOG]
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ISBA 412 - Business Analytics
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
This course provides an introduction to the field of business analytics, which has been defined as the extensive use of big data, statistical and quantitative analysis, exploratory and predictive models, and fact-based management to drive decisions and actions. Various data visualization techniques using Excel 2013 are discussed. Linear regression model, time series analysis, and forecasting models are addressed in detail. Different data mining techniques such as cluster analysis, association rules, classification, and regression trees are covered in depth using XLMiner or SAS Enterprise Miner. Students actively participate in the delivery of this course through case and project presentations. This course is cross-listed with HIT 380 .
Prerequisite: ISBA 300 or ACCT 300 with a grade of C or better
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