Python Statistics for Business Analysis

Katie Gaertner serves as a Business Analytics Lecturer in the Department of Risk and Insurance at the University of Wisconsin-Madison's School of Business, where she brings extensive real-world experience to the classroom. With a diverse academic background including degrees in Statistics from Brigham Young University, Public Administration from the University of Arizona, and Data Science from Northwestern University, she combines theoretical knowledge with practical expertise. Her professional journey spans both public and private sectors, having served as an analyst for three Utah governors and most recently as a Machine Learning Engineer leading cloud data strategy in the financial industry. At UW-Madison, she teaches Data Visualization and Cloud Technologies in the Master of Science-Business: Data, Insights, and Analytics program, where she prepares students for real-world analytics challenges using Amazon Web Services platforms. Her teaching philosophy emphasizes hands-on experience with cloud data tools, including data lakes, scalable data warehouses, and machine learning services, ensuring students develop competitive skills for today's data-driven job market