BUSINESS STATISTICS USING PYTHON
A compact primer in statistics as a foundation for data-driven business analysis. A selection of concepts include probability, estimation, inference, correlation, and regression.
Prerequisites & course information
Requisites: Graduate/professional standing or declared in graduate Business Exchange program Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Calculate descriptive statistics and generate basic visualizations using Python. Audience: Graduate 2. Explain and apply principles and rules of probability. Audience: Graduate 3. Utilize inferential statistics and communicate the uncertainty in statistical estimates. Audience: Graduate 4. Perform regression analysis, and distinguish between correlation and causation. Audience: Graduate Learning Outcomes: 1. Calculate descriptive statistics and generate basic visualizations using Python. Audience: Graduate 2. Explain and apply principles and rules of probability. Audience: Graduate 3. Utilize inferential statistics and communicate the uncertainty in statistical estimates. Audience: Graduate 4. Perform regression analysis, and distinguish between correlation and causation. Audience: Graduate
Sources
- Course catalogue ↗2026-2027