Document Type

Syllabus

Publication Date

Spring 2024

Course Description

A first course in applied business analytics that assumes no prior experience in the field. Explores uses of business analytics and ways to successfully use analytics in business decisions, including ethical aspects of data analysis. Focuses on gathering, organizing, and describing information. May include introductory topics such as data visualization and interpretation through use of simulation, case studies, and guest speakers. The course will include content from each of the four specializations in the Business Analytics major at DePauw: mathematics, computer science, financial analytics, and business & economics. Prerequisites: None.

Student Outcomes

Students will be able to: (1) use the vocabulary and terminology of economics, such as, comparative statics and elasticity (2) create and manipulate a variety of data visualizations in Excel and Python (3) solve optimization problems with Excel’s Solver and perform comparative statics analysis (4) run Monte Carlo simulations (5) download and process data with the FRED Excel add-in (6) think critically and grapple with ethical issues

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