Enterprise Analytics is the capstone course for the Master of Science in Enterprise Analytics. Students will use integrative, problem-based learning materials including a reference text, case studies, and business analytics simulations to review, apply, and integrate content learned throughout the Enterprise Analytics degree program. Strong emphasis will be placed on enterprise analytics project completion. Business analytical topics that will be reviewed, integrated, and applied to real-world problems in business include data management and wrangling, data visualization and summary measures, forecasting, probability distributions, statistical inference, regression analysis, decision trees, cluster analysis, and working with time series data. Students will also build upon their current knowledge to learn the fundamentals of data mining, both supervised and unsupervised, and its role in enterprise analytics. Finally, students will learn how to utilize a statistical processing software package in a lab-like setting to master the science of enterprise analytics.
PREREQUISITE: ACC6135, MGT6460, MGT6470, MGT6480, MKT6450
UPON COMPLETION OF THE COURSE, THE STUDENT WILL BE COMPETENT IN: