Description
Frameworks and quantitative methods used in predictive and prescriptive business analytics for decision-making with less risk and better outcomes. Practical applications with various analytical tools across a range of industries. Data integration; model formulation, implementation, solutions, and managerial insights.
Prerequisites
- Prerequisite(s): Third-year standing, BUSI 3406 (with a grade of C or higher), and STAT 2602 .
Conditions and arrangements
- Prerequisite(s): Third-year standing, BUSI 3406 (with a grade of C or higher), and STAT 2602 .
- Lecture two hours and lab two hours a week.
Reference text in its original language
Frameworks and quantitative methods used in predictive and prescriptive business analytics for decision-making with less risk and better outcomes. Practical applications with various analytical tools across a range of industries. Data integration; model formulation, implementation, solutions, and managerial insights.
- Prerequisite(s): Third-year standing, BUSI 3406 (with a grade of C or higher), and STAT 2602 .
- Lecture two hours and lab two hours a week.
Sources and references
Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.
Source reference : https://calendar.carleton.ca/undergrad/courses/BUSI/