Course Schedule and Catalog
Course Catalog - 2022-2023
BUSI 395 - DATA ANALYTICS
Long Title: DATA ANALYTICS
Department: Business
Grade Mode: Standard Letter
Language of Instruction: Taught in English
Course Type: Lecture/Laboratory
Distribution Group: Distribution Group III
Credit Hours: 4
Restrictions:
Must be enrolled in one of the following Level(s):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Prerequisite(s): MATH 101 OR MATH 102 OR MATH 105 OR MATH 112
Description: An introduction to the statistics and mathematics required for the applications of data science to business environments. The course covers both descriptive and predictive analytics. Starting with the building blocks of probability, random variables and sampling distributions moving to hypothesis testing and regression analysis and culminating with more advanced topics such as multiple regression, model selection and time series analysis emphasizing their use in addressing concrete business problems.