Business Analytics

Catalog description

Business Analytics This course will teach students the basic principles and processes used in business analytics to analyze big data in business. Students will learn to explore data quality, visualize relationships between features, build basic predictive models, and evaluate predictions using R programming. This course will cover predictive modeling analytics and demonstrate how to move towards actions and decisions based on data insights. Classification models using nearest neighbor methods, Naive Bayes, and decision trees will be covered. Numeric forecasting using regression methods and black-box methods (neural networks) will also be implemented. Business analytics ethics and case studies will be discussed demonstraiting predictive modeling in real- world businesses contexts. Upon successful completion of this course students will be able to build basic R programming models to answer big data questions.