Business Analytics with Python

Catalog description

This course introduces students to Python as a business analytics tool. The overarching goal is to teach students to use programming techniques to establish business models across multiple domains, especially including finance and operations. The course will review 1) Descriptive Analytics; data essentials, imports, etc., 2) Prescriptive Analytics; optimization, probability distributions, and Monte Carlo simulations, 3) Predictive Analytics: forecasting, time series analysis with seasonality, and 4) Visualization throughout all subject matters. An experiential learning team project will be completed by the students, who will be asked to optimize and simulate portfolios of their choices. This is an applied analytics course with real-life data on various business problems. Foundational knowledge in any programming language is recommended in addition to the required pre-requisite for the course.