Data Science and Business Analytics Courses

Education
MA Mathematics, Appalachian State University, 2006
MS Data Science and Business Analytics, University of North Carolina Charlotte, Pending 2024
Graduate Certificate, Data Science and Business Analytics, University of North Carolina Charlotte, 2021
BS Mathematics with minor in Computer Science, Appalachian State University, 2004

Course Descriptions for Graduate Certificate Studies in Data Science and Business Analytics Below:

DSBA 6211 - Advanced Business Analytics

An in-depth study of applications of data analytics techniques to discover non-trivial relationships that are understandable, useful, and actionable to decision makers. A case approach is used to emphasize hands-on learning and real-world deployment of business analytics. Grade Earned: B

DSBA 6201 - Business Intelligence and Analytics

An overview of the business approach to identifying, modeling, retrieving, sharing, and evaluating an enterprise’s data and knowledge assets. Focuses on the understanding of data and knowledge management, data warehousing, data mining (including rule-based systems, decision trees, neural networks, etc.), and other business intelligence concepts. Covers the organizational, technological and management perspectives. Grade Earned: A

DSBA 6160 - Big Data Design, Storage, and Provenance

The modeling, programming, integration, and provenance of big data. Focuses on SQL and NoSQL, but may also address other advanced topics. Topics include: (1) modeling/theory: basics of RDBMS and NoSQL, database design; (2) programming: SQL and NoSQL query languages; (3) integration: data warehousing, preprocessing; (4) databases in the Cloud; and (5) provenance: data version control, data lifecycle management. Grade Earned: A

DSBA 6100 - Big Data Analytics for Competitive Advantage

An introduction to the use of big data as a strategic resource. A focus is placed on integrating the knowledge of analytics tools with an understanding of how companies leverage data analytics to gain strategic advantage. A case approach is used to emphasize hands-on learning and a real-world view of big data analytics. Grade Earned: A

DSBA 6010 GR Special Topics in DSBA: From Data to Decisions: Informed Leadership

Applied studies around best practices for data-driven decision making and strategies for working in a culture of data informed leadership. Grade Earned: A

DSBA 5122 - Visual Analytics

Introduces the new field of visual analytics, which integrates interactive analytical methods and visualization. Topics include: critical thinking, visual reasoning, perception/cognition, statistical and other analysis techniques, principles of interaction, and applications. Grade Earned: A