Modeling Business Decisions and Market Outcomes with Spreadsheets and Statistical Programming

CT Score

1500

#0 of 0 in QST BA

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QSTBA 221. - Students must choose either QSTBA 222 or QSTBA 223, and students cannot take both courses. This course examines the use of economic and statistical tools for making business decisions at an advanced level, and prepares students for future study in business analytics. Introduces programming for data analysis (no previous programming knowledge required) and links data analysis to decision making using both spreadsheet modeling and statistical programming. Topics include multiple regression, causal inference, forecasting, predictive analytics, machine learning, demand modeling, and optimization. Case studies apply advanced concepts to practical business problems. Effective Spring 2021, this course fulfills a single unit in the following BU Hub area: Quantitative Reasoning II→QST BA 222→unlocks 5 courses

5 mapped courses list QST BA 222 as a prerequisite. See on the map →

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