This course introduces students to the science of business analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide businesses and managers with the foundation needed to apply data analytics to real-world challenges they confront daily in their professional lives. Students will learn to identify the ideal analytic tool for their specific needs; understand valid and reliable ways to collect, analyze, and visualize data; and utilize data in decision making for their agencies, organizations or clients.
Essential data mining and machine learning concepts.
Regression, cluster, classification and decision tree analysis methods.
Unsupervised and supervised learning models.
Advanced R programming skills.
Analyze data, choose relevant models and algorithms for respective applications.
Study spatial and web data mining.
Develop research interest towards advances in data mining.
Drowning in Data, Starving for Knowledge
Rules, Rules, and More Rules
Model Performance and Recommendation Systems