Business Data Analytics I.

Catalog description

This course introduces students to data analytics statistical methods used in addressing real world business problems. This course is designed to apply statistical concepts and perform data visualization using pivot tables, formatting, functions and Power BI. Topics covered include sampling distributions, confidence intervals, hypothesis testing, simple regression and multiple regression. Appropriate computer resources will be used. This course integrates the principles of experiential learning and meets the criteria for undergraduate research. Prerequisite: MATH 1342 .