A study of business analytics, an important capability for companies operating in competitive markets. Topics include collecting, importing, exporting, organizing, and optimizing data and creating and managing data frames. Statistical software and data visualization tools are used to make informed data-driven decisions, solve real-world problems, and increase productivity and efficiency.
Note: 8-week hybrid GRAD class (Core Course); meets on-site (3/11, 3/25, 4/8, 4/22); connected via Zoom from Kadena (host site with faculty present) to Yokosuka
