Course Overview
Effective business decisions begin with a sound understanding of the analytical techniques and methods used to make data driven business decisions. This course increases students' expertise in the AI-powered prescriptive and predictive methods used to perform Business Analytics in a real-world setting. Students will gain increased knowledge of analytics methods for decision making, including forecasting, hypothesis testing, choice models, regression modelling, and will learn to use these tools effectively to solve complex analytical problems. Students will perform model selection and manipulation of data, present complete solutions in a quantitative analysis project setting.
Prerequisite(s)
Credits
3.0
- Not offered this term
- This course is not offered this term. Notify me to receive email notifications when the course opens for registration next term.
Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Use data dispersion and confidence interval analysis to understand the distribution of data.
- Support business decisions using data driven hypotheses testing results.
- Analyze seasonal and time series trends in data to identify the best course of action.
- Select and defend the choice of AI-powered analytical methods to solve business problems.
- Communicate results using appropriate tools and applications.
- Use multiple analytical and visual methodologies to explore and analyze data.
- Mine data for significant patterns which determine a course of action.
- Forecast system behaviour by using time-series analytics and prediction AI-powered tools.
- Generate and communicate Key Performance Indicators and data metrics.
Effective as of Fall 2026
Related Programs
Quantitative Methods for Business Analytics (BABI 9030) is offered as a part of the following programs:
- Indicates programs accepting international students.
School of Business + Media
- Business Analytics
Graduate Certificate Full-time
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