BUSINESS ANALYTICS I
Development of quantitative intuition through practical applications and use of analysis tools. Specifically, emphasis will be on how to manage, summarize, explore, and visualize databases. The essentials of probability will be introduced and applied to decision problems where there is uncertainty. Emphasis on hypothesis testing and regression analysis and include an introduction to simulation methods. Throughout, attention will be paid to effective communication of data analysis. The use of business cases will connect the course material to both real world settings and recent advances in data analysis, including big data and data mining.
Prerequisites & course information
Requisites: ( GEN BUS 106 or concurrent enrollment) and ( MATH 211 , 217, or 221 ), or declared in undergraduate Business Exchange program Course Designation: Core GenEd - Mathematics & Quantitative Reasoning Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Develop “statistical literacy,” meaning that you can interpret statistics frequently used in current events, industry reports, and so on Audience: Undergraduate 2. Distinguish between descriptive and inferential statistics, and apply skills such as data summarization, hypothesis testing, and regression analysis, using Excel Audience: Undergraduate 3. Apply the core concepts of probability to decision-making under uncertainty, including an introduction to simulation Audience: Undergraduate 4. Synthesize your knowledge with quantitative business cases Audience: Undergraduate 5. Create effective communication of data analyses in written, visual, and/or oral formats Audience: Undergraduate Learning Outcomes: 1. Develop “statistical literacy,” meaning that you can interpret statistics frequently used in current events, industry reports, and so on Audience: Undergraduate 2. Distinguish between descriptive and inferential statistics, and apply skills such as data summarization, hypothesis testing, and regression analysis, using Excel Audience: Undergraduate 3. Apply the core concepts of probability to decision-making under uncertainty, including an introduction to simulation Audience: Undergraduate 4. Synthesize your knowledge with quantitative business cases Audience: Undergraduate 5. Create effective communication of data analyses in written, visual, and/or oral formats Audience: Undergraduate
Sources
- Course catalogue ↗2026-2027