Comprehension of database design principles, including schema creation, modeling, validation, cleansing, and enhancing user experience
Proficiency in modern quantitative tools for analysis, data model design, and trend identification
Ability to identify suitable tool applications, create decision-oriented models, handle substantial "big data" through preparation and loading, and demonstrate expertise in predictive modeling, stochastic methods, programming languages, and ethical considerations for data privacy and governance

Master's In Applied Analytics | Muhlenberg College