Course Catalog - 2021-2022

     

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
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. Mutually Exclusive: Cannot register for BUSI 395 if student has credit for DSCI 301/ECON 307/STAT 310/STAT 315.