MASL 503 Data Analysis & Decision Making
Data is used to make predictions in a variety of fields and there is inherent uncertainty present in making probabilistic forecasts. Students will discover the challenges that arise with data collection, analysis, and distribution, including errors in predictive methods, assumptions of beliefs, biases, and how to address these issues. Characteristics and traits shared by good predictors, various types of data, which measure should be used, communicating uncertainty, and efficient market hypothesis are also discussed to enable students to understand data, how to analyze to make successful decisions, and how to communicate findings effectively.