DATA ANALYTICS
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.
Prerequisites & course information
Short Title: DATA ANALYTICS Department: Business Grade Mode: Standard Letter Course Type: Lecture/Laboratory Distribution Group: Distribution Group III Credit Hours: 4 Restrictions: Enrollment is limited to Undergraduate, Undergraduate Professional or Visiting Undergraduate level students. Course Level: Undergraduate Upper-Level Prerequisite(s): MATH 101 or MATH 102 or MATH 105 or MATH 112
Sources
- Course catalogue ↗2026–2027