Business Intelligence and Analytics Courses
This class focuses on description statistics, including graphical methods, measures of central tendency and variation, probability and probability distributions, sampling distributions, and introduction correlation and regression. Students are introduced to various statistical computer applications.
Business Analysis and Systems Design
Students will gain knowledge essential to planning, analysis, design, and implementation. Upon completion of the course, students will have the knowledge to perform effectively as an entry level business analyst.
This course is designed to provide an overview in major sections of healthcare information systems, healthcare informatics, and healthcare business intelligence. Informatics combines healthcare and business intelligence for decision making aimed at reducing costs and improving quality through use of information systems and technology.
This course introduces the concept of Business Intelligence (BI). Students will learn how BI is used by organizations to make better business decisions, use fewer resources, and improve the bottom line. This course provides an overview of business intelligence topics as well as hands-on experiences. Topics include business analytics, data visualization, data mining, data warehousing and business performance management.
This course provides an introduction to predictive analytics techniques used in business and social science research. Using enterprise-class analytic software, students will learn how to build predictive models using techniques such as logistic regression, discriminant analysis, cluster analysis, and decision trees.
Managerial Decision Analysis
An analysis of the quantitative decision making process in management. Emphasis on decision theory, probabilities, statistical reasoning, data mining, forecasting. Contemporary information technologies are used to support decision analysis.
Big Data Mining and Analytics
This course is a survey of the means of acquiring, storing, accessing and analyzing large data sets. Topics include using common data sources and APIs for acquiring data, including medicine and health, finance, economics, and marketing, storing and accessing data, and statistical and machine learning algorithms for mining and analyzing data.
Using case analysis, class discussion, and problem solving exercises, this course explores the critical factors affecting business success through the use of information technology. Business strategy issues, uses of business intelligence, streamlining business operations, creating an environment that builds innovation, and organizational transformation are discussed in detail.